diff --git "a/tools/tools.json" "b/tools/tools.json" new file mode 100644--- /dev/null +++ "b/tools/tools.json" @@ -0,0 +1,21689 @@ +[ + { + "name": "Bing_CN_MCP", + "description": "一个基于 MCP (Model Context Protocol) 的中文必应搜索工具，可以直接通过 Claude 或其他支持 MCP 的 AI 来搜索必应并获取网页内容。", + "web": "https://github.com/yan5236/bing-cn-mcp-server", + "config": { + "mcpServers": { + "bing-cn-mcp": { + "command": "npx", + "args": [ + "bing-cn-mcp" + ] + } + } + }, + "category": "Discovery", + "tools": { + "bing-cn-mcp": { + "server_name": "bing-cn-mcp", + "version": "0.1.0", + "tools": [ + { + "name": "bing_search", + "description": "使用必应搜索指定的关键词，并返回搜索结果列表，包括标题、链接、摘要和ID", + "inputSchema": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "搜索关键词" + }, + "num_results": { + "type": "number", + "default": 5, + "description": "返回的结果数量，默认为5" + } + }, + "required": [ + "query" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "fetch_webpage", + "description": "根据提供的ID获取对应网页的内容", + "inputSchema": { + "type": "object", + "properties": { + "result_id": { + "type": "string", + "description": "从bing_search返回的结果ID" + } + }, + "required": [ + "result_id" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "MCP Yahoo Finance", + "organization": "maxscheijen", + "description": "A Model Context Protocol (MCP) server for Yahoo Finance interaction. This server provides tools to get pricing, company information and more.", + "web": "https://github.com/maxscheijen/mcp-yahoo-finance", + "config": { + "mcpServers": { + "yahoo-finance": { + "command": "uvx", + "args": [ + "mcp-yahoo-finance" + ] + } + } + }, + "category": "Finance", + "tools": { + "yahoo-finance": { + "server_name": "yahoo-finance", + "version": "0.1.0", + "tools": [ + { + "name": "get_current_stock_price", + "description": "Get the current stock price based on stock symbol.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + } + }, + "required": [ + "symbol" + ] + }, + "annotations": null + }, + { + "name": "get_stock_price_by_date", + "description": "Get the stock price for a given stock symbol on a specific date.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + }, + "date": { + "type": "string", + "description": "The date in YYYY-MM-DD format." + } + }, + "required": [ + "symbol", + "date" + ] + }, + "annotations": null + }, + { + "name": "get_stock_price_date_range", + "description": "Get the stock prices for a given date range for a given stock symbol.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + }, + "start_date": { + "type": "string", + "description": "The start date in YYYY-MM-DD format." + }, + "end_date": { + "type": "string", + "description": "The end date in YYYY-MM-DD format." + } + }, + "required": [ + "symbol", + "start_date", + "end_date" + ] + }, + "annotations": null + }, + { + "name": "get_historical_stock_prices", + "description": "Get historical stock prices for a given stock symbol.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + }, + "period": { + "type": "string", + "description": "The period for historical data. Defaults to \"1mo\". Valid periods: \"1d\", \"5d\", \"1mo\", \"3mo\", \"6mo\", \"1y\", \"2y\", \"5y\", \"10y\", \"ytd\", \"max\"" + }, + "interval": { + "type": "string", + "description": "The interval beween data points. Defaults to \"1d\". Valid intervals: \"1d\", \"5d\", \"1wk\", \"1mo\", \"3mo\"" + } + }, + "required": [ + "symbol" + ] + }, + "annotations": null + }, + { + "name": "get_dividends", + "description": "Get dividends for a given stock symbol.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + } + }, + "required": [ + "symbol" + ] + }, + "annotations": null + }, + { + "name": "get_income_statement", + "description": "Get income statement for a given stock symbol.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + }, + "freq": { + "type": "string", + "description": "At what frequency to get cashflow statements. Defaults to \"yearly\". Valid freqencies: \"yearly\", \"quarterly\", \"trainling\"" + } + }, + "required": [ + "symbol" + ] + }, + "annotations": null + }, + { + "name": "get_cashflow", + "description": "Get cashflow for a given stock symbol.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + }, + "freq": { + "type": "string", + "description": "At what frequency to get cashflow statements. Defaults to \"yearly\". Valid freqencies: \"yearly\", \"quarterly\", \"trainling\"" + } + }, + "required": [ + "symbol" + ] + }, + "annotations": null + }, + { + "name": "get_earning_dates", + "description": "Get earning dates.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + }, + "limit": { + "type": "string", + "description": "max amount of upcoming and recent earnings dates to return. Default value 12 should return next 4 quarters and last 8 quarters. Increase if more history is needed." + } + }, + "required": [ + "symbol" + ] + }, + "annotations": null + }, + { + "name": "get_news", + "description": "Get news for a given stock symbol.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + } + }, + "required": [ + "symbol" + ] + }, + "annotations": null + }, + { + "name": "get_recommendations", + "description": "Get analyst recommendations for a given symbol.", + "inputSchema": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "Stock symbol in Yahoo Finance format." + } + }, + "required": [ + "symbol" + ] + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "NPM Sentinel MCP", + "description": "A powerful Model Context Protocol (MCP) server that revolutionizes NPM package analysis through AI. Built to integrate with Claude and Anthropic AI, it provides real-time intelligence on package security, dependencies, and performance. This MCP server delivers instant insights and smart analysis to safeguard and optimize your npm ecosystem, making package management decisions faster and safer for modern development workflows.", + "web": "https://github.com/nekzus/npm-sentinel-mcp", + "config": { + "mcpServers": { + "npm-sentinel-mcp": { + "command": "npx", + "args": [ + "-y", + "@nekzus/mcp-server@latest" + ] + } + } + }, + "category": "Code", + "tools": { + "npm-sentinel-mcp": { + "server_name": "npm-sentinel-mcp", + "version": "0.1.0", + "tools": [ + { + "name": "npmVersions", + "description": "Get all available versions of an NPM package", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to get versions for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get All Package Versions", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmLatest", + "description": "Get the latest version and changelog of an NPM package", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to get latest versions for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get Latest Package Information", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmDeps", + "description": "Analyze dependencies and devDependencies of an NPM package", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to analyze dependencies for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get Package Dependencies", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmTypes", + "description": "Check TypeScript types availability and version for a package", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to check types for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Check TypeScript Type Availability", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmSize", + "description": "Get package size information including dependencies and bundle size", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to get size information for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get Package Size (Bundlephobia)", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmVulnerabilities", + "description": "Check for known vulnerabilities in packages", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to check for vulnerabilities" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Check Package Vulnerabilities (OSV.dev)", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": false, + "openWorldHint": true + } + }, + { + "name": "npmTrends", + "description": "Get download trends and popularity metrics for packages", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to get trends for" + }, + "period": { + "type": "string", + "enum": [ + "last-week", + "last-month", + "last-year" + ], + "description": "Time period for trends. Options: \"last-week\", \"last-month\", \"last-year\"", + "default": "last-month" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get NPM Package Download Trends", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmCompare", + "description": "Compare multiple NPM packages based on various metrics", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to compare" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Compare NPM Packages", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmMaintainers", + "description": "Get maintainers information for NPM packages", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to get maintainers for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get NPM Package Maintainers", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmScore", + "description": "Get consolidated package score based on quality, maintenance, and popularity metrics", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to get scores for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get NPM Package Score (NPMS.io)", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmPackageReadme", + "description": "Get the README content for NPM packages", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to get READMEs for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get NPM Package README", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmSearch", + "description": "Search for NPM packages with optional limit", + "inputSchema": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "Search query for packages" + }, + "limit": { + "type": "number", + "minimum": 1, + "maximum": 50, + "description": "Maximum number of results to return (default: 10)" + } + }, + "required": [ + "query" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Search NPM Packages", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": false, + "openWorldHint": true + } + }, + { + "name": "npmLicenseCompatibility", + "description": "Check license compatibility between multiple packages", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "minItems": 1, + "description": "List of package names to check for license compatibility" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Check NPM License Compatibility", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmRepoStats", + "description": "Get repository statistics for NPM packages", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to get repository stats for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Get NPM Package Repository Stats (GitHub)", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmDeprecated", + "description": "Check if packages are deprecated", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to check for deprecation" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Check NPM Package Deprecation Status", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmChangelogAnalysis", + "description": "Analyze changelog and release history of packages", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to analyze changelogs for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Analyze NPM Package Changelog (GitHub)", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmAlternatives", + "description": "Find alternative packages with similar functionality", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to find alternatives for" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Find NPM Package Alternatives", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": false, + "openWorldHint": true + } + }, + { + "name": "npmQuality", + "description": "Analyze package quality metrics", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to analyze" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Analyze NPM Package Quality (NPMS.io)", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + }, + { + "name": "npmMaintenance", + "description": "Analyze package maintenance metrics", + "inputSchema": { + "type": "object", + "properties": { + "packages": { + "type": "array", + "items": { + "type": "string" + }, + "description": "List of package names to analyze" + } + }, + "required": [ + "packages" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": { + "title": "Analyze NPM Package Maintenance (NPMS.io)", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": true, + "openWorldHint": true + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Hugeicons MCP Server", + "description": "This is a TypeScript-based MCP server that provides tools and resources for integrating Hugeicons into various platforms. It implements a Model Context Protocol (MCP) server that helps AI assistants provide accurate guidance for using Hugeicons.", + "web": "https://github.com/hugeicons/mcp-server", + "config": { + "mcpServers": { + "hugeicons": { + "command": "npx", + "args": [ + "-y", + "@hugeicons/mcp-server" + ] + } + } + }, + "category": "Visualization", + "tools": { + "hugeicons": { + "server_name": "hugeicons", + "version": "0.1.0", + "tools": [ + { + "name": "list_icons", + "description": "Get a list of all available Hugeicons icons", + "inputSchema": { + "type": "object", + "properties": {}, + "required": [] + }, + "annotations": null + }, + { + "name": "search_icons", + "description": "Search for icons by name or tags. Use commas to search for multiple icons (e.g. 'home, notification, settings')", + "inputSchema": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "Search query to find relevant icons. Separate multiple searches with commas" + } + }, + "required": [ + "query" + ] + }, + "annotations": null + }, + { + "name": "get_platform_usage", + "description": "Get platform-specific usage instructions for Hugeicons", + "inputSchema": { + "type": "object", + "properties": { + "platform": { + "type": "string", + "description": "Platform name (react, vue, angular, svelte, react-native, flutter)", + "enum": [ + "react", + "vue", + "angular", + "svelte", + "react-native", + "flutter" + ] + } + }, + "required": [ + "platform" + ] + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "OP.GG MCP Server", + "description": "This MCP server provides AI agents with access to OP.GG data through a standardized interface. It offers a simple way to connect to our remote server (https://mcp-api.op.gg/mcp), allowing for easy installation and immediate access to OP.GG data in a format that's easily consumable by AI models and agent frameworks.", + "web": "https://github.com/opgginc/opgg-mcp", + "config": { + "mcpServers": { + "opgg-mcp": { + "command": "npx", + "args": [ + "-y", + "supergateway", + "--streamableHttp", + "https://mcp-api.op.gg/mcp" + ] + } + } + }, + "category": "Entertainment", + "tools": { + "opgg-mcp": { + "server_name": "opgg-mcp", + "version": "0.1.0", + "tools": [ + { + "name": "lol-champion-leader-board", + "description": "Retrieves the leaderboard of master players who play a specific champion well. You can also look up the high ranked players, like the high winrate 5 players in #1-#30, to retrieve their champion performance or recent match history to teach how to play the champions.", + "inputSchema": { + "type": "object", + "properties": { + "region": { + "type": "string", + "enum": [ + "KR", + "BR", + "EUNE", + "EUW", + "LAN", + "LAS", + "NA", + "OCE", + "RU", + "TR", + "JP", + "PH", + "SG", + "TH", + "TW", + "VN", + "ME", + "SEA" + ], + "description": "Regions in the game League of Legends." + }, + "champion": { + "type": "string", + "enum": [ + "ANNIE", + "OLAF", + "GALIO", + "TWISTED_FATE", + "XIN_ZHAO", + "URGOT", + "LEBLANC", + "VLADIMIR", + "FIDDLESTICKS", + "KAYLE", + "MASTER_YI", + "ALISTAR", + "RYZE", + "SION", + "SIVIR", + "SORAKA", + "TEEMO", + "TRISTANA", + "WARWICK", + "NUNU_WILLUMP", + "MISS_FORTUNE", + "ASHE", + "TRYNDAMERE", + "JAX", + "MORGANA", + "ZILEAN", + "SINGED", + "EVELYNN", + "TWITCH", + "KARTHUS", + "CHOGATH", + "AMUMU", + "RAMMUS", + "ANIVIA", + "SHACO", + "DR_MUNDO", + "SONA", + "KASSADIN", + "IRELIA", + "JANNA", + "GANGPLANK", + "CORKI", + "KARMA", + "TARIC", + "VEIGAR", + "TRUNDLE", + "SWAIN", + "CAITLYN", + "BLITZCRANK", + "MALPHITE", + "KATARINA", + "NOCTURNE", + "MAOKAI", + "RENEKTON", + "JARVAN_IV", + "ELISE", + "ORIANNA", + "WUKONG", + "BRAND", + "LEE_SIN", + "VAYNE", + "RUMBLE", + "CASSIOPEIA", + "SKARNER", + "HEIMERDINGER", + "NASUS", + "NIDALEE", + "UDYR", + "POPPY", + "GRAGAS", + "PANTHEON", + "EZREAL", + "MORDEKAISER", + "YORICK", + "AKALI", + "KENNEN", + "GAREN", + "LEONA", + "MALZAHAR", + "TALON", + "RIVEN", + "KOGMAW", + "SHEN", + "LUX", + "XERATH", + "SHYVANA", + "AHRI", + "GRAVES", + "FIZZ", + "VOLIBEAR", + "RENGAR", + "VARUS", + "NAUTILUS", + "VIKTOR", + "SEJUANI", + "FIORA", + "ZIGGS", + "LULU", + "DRAVEN", + "HECARIM", + "KHAZIX", + "DARIUS", + "JAYCE", + "LISSANDRA", + "DIANA", + "QUINN", + "SYNDRA", + "AURELION_SOL", + "KAYN", + "ZOE", + "ZYRA", + "KAISA", + "SERAPHINE", + "GNAR", + "ZAC", + "YASUO", + "VELKOZ", + "TALIYAH", + "CAMILLE", + "AKSHAN", + "BELVETH", + "BRAUM", + "JHIN", + "KINDRED", + "ZERI", + "JINX", + "TAHM_KENCH", + "BRIAR", + "VIEGO", + "SENNA", + "LUCIAN", + "ZED", + "KLED", + "EKKO", + "QIYANA", + "VI", + "AATROX", + "NAMI", + "AZIR", + "YUUMI", + "SAMIRA", + "THRESH", + "ILLAOI", + "REKSAI", + "IVERN", + "KALISTA", + "BARD", + "RAKAN", + "XAYAH", + "ORNN", + "SYLAS", + "NEEKO", + "APHELIOS", + "RELL", + "PYKE", + "VEX", + "YONE", + "AMBESSA", + "SETT", + "LILLIA", + "GWEN", + "RENATA_GLASC", + "AURORA", + "NILAH", + "KSANTE", + "SMOLDER", + "MILIO", + "HWEI", + "NAAFIRI" + ], + "description": "These are the champion names in the game League of Legends." + } + }, + "required": [ + "region", + "champion" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "lol-champion-analysis", + "description": "Retrieves very detailed information about a specific champion, such as win rate, pick rate, recommended builds, recommended skill order, recommended items, etc. If a user mentions a specific champion, you *must* always call this function, review the data, and then respond. If the user asks some tips during playing game, you should also occasionally call this function to advice how to play the game well. If the users asks like 'what items should I buy?', 'which skill should I level up?', also you need to call this function to see the high winrate champions. (Counter Picks ban/pick data is available in the `weakCounters` field). You must assume the position user want to know.", + "inputSchema": { + "type": "object", + "properties": { + "game_mode": { + "type": "string", + "enum": [ + "RANKED", + "FLEX", + "URF", + "ARAM", + "NEXUS_BLITZ" + ], + "description": "Different queue types and game modes in League of Legends." + }, + "champion": { + "type": "string", + "enum": [ + "ANNIE", + "OLAF", + "GALIO", + "TWISTED_FATE", + "XIN_ZHAO", + "URGOT", + "LEBLANC", + "VLADIMIR", + "FIDDLESTICKS", + "KAYLE", + "MASTER_YI", + "ALISTAR", + "RYZE", + "SION", + "SIVIR", + "SORAKA", + "TEEMO", + "TRISTANA", + "WARWICK", + "NUNU_WILLUMP", + "MISS_FORTUNE", + "ASHE", + "TRYNDAMERE", + "JAX", + "MORGANA", + "ZILEAN", + "SINGED", + "EVELYNN", + "TWITCH", + "KARTHUS", + "CHOGATH", + "AMUMU", + "RAMMUS", + "ANIVIA", + "SHACO", + "DR_MUNDO", + "SONA", + "KASSADIN", + "IRELIA", + "JANNA", + "GANGPLANK", + "CORKI", + "KARMA", + "TARIC", + "VEIGAR", + "TRUNDLE", + "SWAIN", + "CAITLYN", + "BLITZCRANK", + "MALPHITE", + "KATARINA", + "NOCTURNE", + "MAOKAI", + "RENEKTON", + "JARVAN_IV", + "ELISE", + "ORIANNA", + "WUKONG", + "BRAND", + "LEE_SIN", + "VAYNE", + "RUMBLE", + "CASSIOPEIA", + "SKARNER", + "HEIMERDINGER", + "NASUS", + "NIDALEE", + "UDYR", + "POPPY", + "GRAGAS", + "PANTHEON", + "EZREAL", + "MORDEKAISER", + "YORICK", + "AKALI", + "KENNEN", + "GAREN", + "LEONA", + "MALZAHAR", + "TALON", + "RIVEN", + "KOGMAW", + "SHEN", + "LUX", + "XERATH", + "SHYVANA", + "AHRI", + "GRAVES", + "FIZZ", + "VOLIBEAR", + "RENGAR", + "VARUS", + "NAUTILUS", + "VIKTOR", + "SEJUANI", + "FIORA", + "ZIGGS", + "LULU", + "DRAVEN", + "HECARIM", + "KHAZIX", + "DARIUS", + "JAYCE", + "LISSANDRA", + "DIANA", + "QUINN", + "SYNDRA", + "AURELION_SOL", + "KAYN", + "ZOE", + "ZYRA", + "KAISA", + "SERAPHINE", + "GNAR", + "ZAC", + "YASUO", + "VELKOZ", + "TALIYAH", + "CAMILLE", + "AKSHAN", + "BELVETH", + "BRAUM", + "JHIN", + "KINDRED", + "ZERI", + "JINX", + "TAHM_KENCH", + "BRIAR", + "VIEGO", + "SENNA", + "LUCIAN", + "ZED", + "KLED", + "EKKO", + "QIYANA", + "VI", + "AATROX", + "NAMI", + "AZIR", + "YUUMI", + "SAMIRA", + "THRESH", + "ILLAOI", + "REKSAI", + "IVERN", + "KALISTA", + "BARD", + "RAKAN", + "XAYAH", + "ORNN", + "SYLAS", + "NEEKO", + "APHELIOS", + "RELL", + "PYKE", + "VEX", + "YONE", + "AMBESSA", + "SETT", + "LILLIA", + "GWEN", + "RENATA_GLASC", + "AURORA", + "NILAH", + "KSANTE", + "SMOLDER", + "MILIO", + "HWEI", + "NAAFIRI" + ], + "description": "These are the champion names in the game League of Legends." + }, + "position": { + "type": "string", + "enum": [ + "TOP", + "MID", + "JUNGLE", + "ADC", + "SUPPORT", + "NONE" + ], + "description": "These are the champion positions in the game League of Legends." + }, + "lang": { + "type": "string", + "enum": [ + "ar_AE", + "cs_CZ", + "de_DE", + "el_GR", + "en_US", + "en_AU", + "en_GB", + "en_PH", + "en_SG", + "es_AR", + "es_ES", + "es_MX", + "fr_FR", + "hu_HU", + "it_IT", + "ja_JP", + "ko_KR", + "pl_PL", + "pt_BR", + "ro_RO", + "ru_RU", + "th_TH", + "tr_TR", + "vi_VN", + "zh_CN", + "zh_MY", + "zh_TW" + ], + "description": "Language code for localized content. Determines the language of returned data." + } + }, + "required": [ + "game_mode", + "champion", + "position", + "lang" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "lol-champion-meta-data", + "description": "Retrieves meta data for a specific champion, including statistics and performance metrics.", + "inputSchema": { + "type": "object", + "properties": { + "champion": { + "type": "string", + "enum": [ + "ANNIE", + "OLAF", + "GALIO", + "TWISTED_FATE", + "XIN_ZHAO", + "URGOT", + "LEBLANC", + "VLADIMIR", + "FIDDLESTICKS", + "KAYLE", + "MASTER_YI", + "ALISTAR", + "RYZE", + "SION", + "SIVIR", + "SORAKA", + "TEEMO", + "TRISTANA", + "WARWICK", + "NUNU_WILLUMP", + "MISS_FORTUNE", + "ASHE", + "TRYNDAMERE", + "JAX", + "MORGANA", + "ZILEAN", + "SINGED", + "EVELYNN", + "TWITCH", + "KARTHUS", + "CHOGATH", + "AMUMU", + "RAMMUS", + "ANIVIA", + "SHACO", + "DR_MUNDO", + "SONA", + "KASSADIN", + "IRELIA", + "JANNA", + "GANGPLANK", + "CORKI", + "KARMA", + "TARIC", + "VEIGAR", + "TRUNDLE", + "SWAIN", + "CAITLYN", + "BLITZCRANK", + "MALPHITE", + "KATARINA", + "NOCTURNE", + "MAOKAI", + "RENEKTON", + "JARVAN_IV", + "ELISE", + "ORIANNA", + "WUKONG", + "BRAND", + "LEE_SIN", + "VAYNE", + "RUMBLE", + "CASSIOPEIA", + "SKARNER", + "HEIMERDINGER", + "NASUS", + "NIDALEE", + "UDYR", + "POPPY", + "GRAGAS", + "PANTHEON", + "EZREAL", + "MORDEKAISER", + "YORICK", + "AKALI", + "KENNEN", + "GAREN", + "LEONA", + "MALZAHAR", + "TALON", + "RIVEN", + "KOGMAW", + "SHEN", + "LUX", + "XERATH", + "SHYVANA", + "AHRI", + "GRAVES", + "FIZZ", + "VOLIBEAR", + "RENGAR", + "VARUS", + "NAUTILUS", + "VIKTOR", + "SEJUANI", + "FIORA", + "ZIGGS", + "LULU", + "DRAVEN", + "HECARIM", + "KHAZIX", + "DARIUS", + "JAYCE", + "LISSANDRA", + "DIANA", + "QUINN", + "SYNDRA", + "AURELION_SOL", + "KAYN", + "ZOE", + "ZYRA", + "KAISA", + "SERAPHINE", + "GNAR", + "ZAC", + "YASUO", + "VELKOZ", + "TALIYAH", + "CAMILLE", + "AKSHAN", + "BELVETH", + "BRAUM", + "JHIN", + "KINDRED", + "ZERI", + "JINX", + "TAHM_KENCH", + "BRIAR", + "VIEGO", + "SENNA", + "LUCIAN", + "ZED", + "KLED", + "EKKO", + "QIYANA", + "VI", + "AATROX", + "NAMI", + "AZIR", + "YUUMI", + "SAMIRA", + "THRESH", + "ILLAOI", + "REKSAI", + "IVERN", + "KALISTA", + "BARD", + "RAKAN", + "XAYAH", + "ORNN", + "SYLAS", + "NEEKO", + "APHELIOS", + "RELL", + "PYKE", + "VEX", + "YONE", + "AMBESSA", + "SETT", + "LILLIA", + "GWEN", + "RENATA_GLASC", + "AURORA", + "NILAH", + "KSANTE", + "SMOLDER", + "MILIO", + "HWEI", + "NAAFIRI" + ], + "description": "These are the champion names in the game League of Legends." + }, + "lang": { + "type": "string", + "enum": [ + "ar_AE", + "cs_CZ", + "de_DE", + "el_GR", + "en_US", + "en_AU", + "en_GB", + "en_PH", + "en_SG", + "es_AR", + "es_ES", + "es_MX", + "fr_FR", + "hu_HU", + "it_IT", + "ja_JP", + "ko_KR", + "pl_PL", + "pt_BR", + "ro_RO", + "ru_RU", + "th_TH", + "tr_TR", + "vi_VN", + "zh_CN", + "zh_MY", + "zh_TW" + ], + "description": "Language code for localized content. Determines the language of returned data." + } + }, + "required": [ + "champion", + "lang" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "lol-champion-skin-sale", + "description": "Retrieves information about champion skins that are currently on sale.", + "inputSchema": { + "type": "object", + "properties": { + "lang": { + "type": "string", + "enum": [ + "ar_AE", + "cs_CZ", + "de_DE", + "el_GR", + "en_US", + "en_AU", + "en_GB", + "en_PH", + "en_SG", + "es_AR", + "es_ES", + "es_MX", + "fr_FR", + "hu_HU", + "it_IT", + "ja_JP", + "ko_KR", + "pl_PL", + "pt_BR", + "ro_RO", + "ru_RU", + "th_TH", + "tr_TR", + "vi_VN", + "zh_CN", + "zh_MY", + "zh_TW" + ], + "description": "Language code for localized content. Determines the language of returned data." + } + }, + "required": [ + "lang" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "lol-summoner-search", + "description": "Retrieves information about a specific summoner, such as their rank, win rate, and recent match history. If a user mentions a specific summoner or wants to know about themselves, you *must* always call this function. If you can't find the summoner, ask to the user which region do they play.", + "inputSchema": { + "type": "object", + "properties": { + "game_name": { + "type": "string", + "description": "The first part of a Riot ID (e.g., \"Annie\" in \"Annie#Opgg\")." + }, + "tag_line": { + "type": "string", + "description": "The second part of a Riot ID (e.g., \"Opgg\" in \"Annie#Opgg\")." + }, + "region": { + "type": "string", + "enum": [ + "KR", + "BR", + "EUNE", + "EUW", + "LAN", + "LAS", + "NA", + "OCE", + "RU", + "TR", + "JP", + "PH", + "SG", + "TH", + "TW", + "VN", + "ME", + "SEA" + ], + "description": "The region to search in (e.g., KR, NA, EUW)." + }, + "lang": { + "type": "string", + "enum": [ + "ar_AE", + "cs_CZ", + "de_DE", + "el_GR", + "en_US", + "en_AU", + "en_GB", + "en_PH", + "en_SG", + "es_AR", + "es_ES", + "es_MX", + "fr_FR", + "hu_HU", + "it_IT", + "ja_JP", + "ko_KR", + "pl_PL", + "pt_BR", + "ro_RO", + "ru_RU", + "th_TH", + "tr_TR", + "vi_VN", + "zh_CN", + "zh_MY", + "zh_TW" + ], + "description": "Language code for localized content. Determines the language of returned data." + } + }, + "required": [ + "game_name", + "tag_line", + "region", + "lang" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "lol-champion-positions-data", + "description": "Retrieves the analytics of champions by each positions. You can also look up the winrate, banrate, plays, wins, kills, kda and etc. `tier_data` is champion tier which tells which champion is powerful (OP) or not, for example `tier 1` champion is easy to play and powerful champion. (You can recommend this champion to the user if they want recommandation)", + "inputSchema": { + "type": "object", + "properties": { + "lang": { + "type": "string", + "enum": [ + "ar_AE", + "cs_CZ", + "de_DE", + "el_GR", + "en_US", + "en_AU", + "en_GB", + "en_PH", + "en_SG", + "es_AR", + "es_ES", + "es_MX", + "fr_FR", + "hu_HU", + "it_IT", + "ja_JP", + "ko_KR", + "pl_PL", + "pt_BR", + "ro_RO", + "ru_RU", + "th_TH", + "tr_TR", + "vi_VN", + "zh_CN", + "zh_MY", + "zh_TW" + ], + "description": "Language code for localized content. Determines the language of returned data." + }, + "format": { + "type": "string", + "enum": [ + "csv", + "json_zip" + ], + "description": "Format of the output data. Determines the format of returned data. Default is `csv`.", + "default": "csv" + } + }, + "required": [ + "lang" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "lol-summoner-game-history", + "description": "Retrieves the recent match history of a specific summoner. If a user mentions a specific summoner, wants to know about their recent matches, wants to know how to improve or wants to get an advice, you *must* always call this function.", + "inputSchema": { + "type": "object", + "properties": { + "game_name": { + "type": "string", + "description": "The first part of a Riot ID (e.g., \"Annie\" in \"Annie#Opgg\")." + }, + "tag_line": { + "type": "string", + "description": "The second part of a Riot ID (e.g., \"Opgg\" in \"Annie#Opgg\")." + }, + "region": { + "type": "string", + "enum": [ + "KR", + "BR", + "EUNE", + "EUW", + "LAN", + "LAS", + "NA", + "OCE", + "RU", + "TR", + "JP", + "PH", + "SG", + "TH", + "TW", + "VN", + "ME", + "SEA" + ], + "description": "The region to search in (e.g., KR, NA, EUW)." + }, + "lang": { + "type": "string", + "enum": [ + "ar_AE", + "cs_CZ", + "de_DE", + "el_GR", + "en_US", + "en_AU", + "en_GB", + "en_PH", + "en_SG", + "es_AR", + "es_ES", + "es_MX", + "fr_FR", + "hu_HU", + "it_IT", + "ja_JP", + "ko_KR", + "pl_PL", + "pt_BR", + "ro_RO", + "ru_RU", + "th_TH", + "tr_TR", + "vi_VN", + "zh_CN", + "zh_MY", + "zh_TW" + ], + "description": "Language code for localized content. Determines the language of returned data." + } + }, + "required": [ + "game_name", + "tag_line", + "region", + "lang" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "lol-summoner-renewal", + "description": "Renew the summoner's data of OP.GG through RiotAPI. When you retrieve summoner data, you *must* always call this function first, and then call the next functions.", + "inputSchema": { + "type": "object", + "properties": { + "game_name": { + "type": "string", + "description": "The first part of a Riot ID (e.g., \"Annie\" in \"Annie#Opgg\")." + }, + "tag_line": { + "type": "string", + "description": "The second part of a Riot ID (e.g., \"Opgg\" in \"Annie#Opgg\")." + }, + "region": { + "type": "string", + "enum": [ + "KR", + "BR", + "EUNE", + "EUW", + "LAN", + "LAS", + "NA", + "OCE", + "RU", + "TR", + "JP", + "PH", + "SG", + "TH", + "TW", + "VN", + "ME", + "SEA" + ], + "description": "The region to search in (e.g., KR, NA, EUW)." + } + }, + "required": [ + "game_name", + "tag_line", + "region" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "lol-brawl-champion-tier-rank", + "description": "Retrieves champion tier ranking list in brawl mode.", + "inputSchema": { + "type": "object", + "properties": { + "lang": { + "type": "string", + "enum": [ + "ar_AE", + "cs_CZ", + "de_DE", + "el_GR", + "en_US", + "en_AU", + "en_GB", + "en_PH", + "en_SG", + "es_AR", + "es_ES", + "es_MX", + "fr_FR", + "hu_HU", + "it_IT", + "ja_JP", + "ko_KR", + "pl_PL", + "pt_BR", + "ro_RO", + "ru_RU", + "th_TH", + "tr_TR", + "vi_VN", + "zh_CN", + "zh_MY", + "zh_TW" + ], + "description": "Language code for localized content. Determines the language of returned data." + } + }, + "required": [ + "lang" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "esports-lol-schedules", + "description": "Get upcoming LoL match schedules.", + "inputSchema": { + "type": "object", + "properties": {}, + "required": [] + }, + "annotations": { + "title": "Esports LoL Schedules", + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "esports-lol-team-standings", + "description": "Get team standings for a LoL league.", + "inputSchema": { + "type": "object", + "properties": { + "shortName": { + "type": "string", + "enum": [ + "lck", + "lpl", + "lec", + "lcs", + "ljl", + "vcs", + "cblol", + "lcl", + "lla", + "tcl", + "pcs", + "lco", + "lta south", + "lta north", + "lcp", + "first stand", + "fst", + "al", + "msi", + "worlds" + ], + "description": "League short name (LCK, LPL, Worlds, ...)" + } + }, + "required": [ + "shortName" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "tft-meta-trend-deck-list", + "description": "TFT deck list tool for retrieving current meta decks.", + "inputSchema": { + "type": "object", + "properties": {}, + "required": [] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "tft-meta-item-combinations", + "description": "TFT tool for retrieving information about item combinations and recipes.", + "inputSchema": { + "type": "object", + "properties": { + "language": { + "type": "string", + "enum": [ + "en_US", + "ko_KR", + "ja_JP", + "zh_CN", + "zh_TW", + "fr_FR", + "de_DE", + "es_ES", + "it_IT", + "pl_PL", + "pt_BR", + "ru_RU", + "tr_TR", + "vi_VN" + ], + "description": "These are the champion names in the game League of Legends." + } + }, + "required": [] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "tft-champion-item-build", + "description": "TFT tool for retrieving champion item build information.", + "inputSchema": { + "type": "object", + "properties": { + "championId": { + "type": "string", + "enum": [ + "TFT14_Ekko", + "TFT14_Kindred", + "TFT14_Urgot", + "TFT14_Varus", + "TFT14_Vi", + "TFT14_Jinx", + "TFT14_DrMundo", + "TFT14_Sejuani", + "TFT14_Shaco", + "TFT14_KogMaw", + "TFT14_Zed", + "TFT14_Aphelios", + "TFT14_SummonLevel2", + "TFT14_Senna", + "TFT14_Yuumi", + "TFT14_Viego", + "TFT14_Morgana", + "TFT14_Neeko", + "TFT14_Zeri", + "TFT14_Poppy", + "TFT14_Jax", + "TFT14_LeBlanc", + "TFT14_Elise", + "TFT14_Kobuko", + "TFT14_NidaleeCougar", + "TFT14_Annie", + "TFT14_Renekton", + "TFT14_Mordekaiser", + "TFT14_Brand", + "TFT14_Seraphine", + "TFT14_Ziggs", + "TFT14_Alistar", + "TFT14_Fiddlesticks", + "TFT14_Rhaast", + "TFT14_Naafiri", + "TFT14_Vex", + "TFT14_Braum", + "TFT14_MissFortune", + "TFT14_Shyvana", + "TFT14_Gragas", + "TFT14_TwistedFate", + "TFT14_Samira", + "TFT14_Garen", + "TFT14_Rengar", + "TFT14_Xayah", + "TFT14_Chogath", + "TFT14_Aurora", + "TFT14_Graves", + "TFT14_Galio", + "TFT14_Vayne", + "TFT14_Jarvan", + "TFT14_Leona", + "TFT14_Illaoi", + "TFT14_Veigar", + "TFT14_Draven", + "TFT14_Skarner", + "TFT14_Zyra", + "TFT14_Jhin", + "TFT14_Zac", + "TFT14_Darius", + "TFT14_Sylas", + "TFT14_SummonLevel4" + ], + "description": "TFT champion ID to retrieve item build for" + } + }, + "required": [ + "championId" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "tft-recommend-champion-for-item", + "description": "TFT tool for retrieving champion recommendations for a specific item.", + "inputSchema": { + "type": "object", + "properties": { + "itemId": { + "type": "string", + "enum": [ + "TFT14_Item_StreetDemonEmblemItem", + "TFT_Item_Quicksilver", + "TFT4_Item_OrnnZhonyasParadox", + "TFT5_Item_BloodthirsterRadiant", + "TFT5_Item_ThiefsGlovesRadiant", + "TFT_Item_RadiantVirtue", + "TFT_Item_Leviathan", + "TFT5_Item_ZzRotPortalRadiant", + "TFT_Item_BlueBuff", + "TFT14_Item_StrongEmblemItem", + "TFT14_Item_MarksmanEmblemItem", + "TFT14_SejuaniCyberneticItem", + "TFT_Item_LocketOfTheIronSolari", + "TFT_Item_Morellonomicon", + "TFT_Item_SteraksGage", + "TFT_Item_NeedlesslyLargeRod", + "TFT_Item_Artifact_Fishbones", + "TFT5_Item_WarmogsArmorRadiant", + "TFT14_VarusCyberneticItem_Radiant", + "TFT14_Item_Nitro_ChromeCounter", + "TFT_Item_Artifact_UnendingDespair", + "TFT_Item_Artifact_SpectralCutlass", + "TFT_Item_Redemption", + "TFT_Item_Chalice", + "TFT_Item_IonicSpark", + "TFT9_Item_OrnnDeathfireGrasp", + "TFT5_Item_CrownguardRadiant", + "TFT4_Item_OrnnRanduinsSanctum", + "TFT14_Item_GuardianEmblemItem", + "TFT14_Item_ArmorcladEmblemItem", + "TFT_Item_BFSword", + "TFT_Item_InfinityEdge", + "TFT_Item_Moonstone", + "TFT5_Item_GargoyleStoneplateRadiant", + "TFT5_Item_StatikkShivRadiant", + "TFT5_Item_DeathbladeRadiant", + "TFT5_Item_RabadonsDeathcapRadiant", + "TFT5_Item_SpectralGauntletRadiant", + "TFT_Item_AdaptiveHelm", + "TFT_Item_StatikkShiv", + "TFT14_JaxCyberneticItem_Radiant", + "TFT14_Item_DivinicorpEmblemItem", + "TFT4_Item_OrnnObsidianCleaver", + "TFT14_JhinCyberneticItem_Radiant", + "TFT9_Item_OrnnHullbreaker", + "TFT_Item_JeweledGauntlet", + "TFT14_VarusCyberneticItem", + "TFT_Item_ArchangelsStaff", + "TFT_Item_Artifact_SilvermereDawn", + "TFT_Item_GuardianAngel", + "TFT_Item_TitansResolve", + "TFT_Item_Artifact_StatikkShiv", + "TFT14_Item_SwiftEmblemItem", + "TFT_Item_TacticiansRing", + "TFT_Item_SpectralGauntlet", + "TFT_Item_RunaansHurricane", + "TFT_Item_WarmogsArmor", + "TFT5_Item_GiantSlayerRadiant", + "TFT_Item_Deathblade", + "TFT_Item_Artifact_TitanicHydra", + "TFT_Item_HextechGunblade", + "TFT_Item_NegatronCloak", + "TFT_Item_Artifact_LightshieldCrest", + "TFT_Item_BansheesVeil", + "TFT14_JaxCyberneticItem", + "TFT4_Item_OrnnDeathsDefiance", + "TFT14_NaafiriCyberneticItem_Radiant", + "TFT_Item_RecurveBow", + "TFT5_Item_IonicSparkRadiant", + "TFT_Item_BrambleVest", + "TFT5_Item_QuicksilverRadiant", + "TFT_Item_RabadonsDeathcap", + "TFT_Item_FrozenHeart", + "TFT14_Item_BruiserEmblemItem", + "TFT14_JhinCyberneticItem", + "TFT_Item_Artifact_Mittens", + "TFT5_Item_LeviathanRadiant", + "TFT_Item_Artifact_LichBane", + "TFT5_Item_TrapClawRadiant", + "TFT5_Item_LastWhisperRadiant", + "TFT_Item_GiantsBelt", + "TFT_Item_ThiefsGloves", + "TFT5_Item_SpearOfShojinRadiant", + "TFT_Item_NightHarvester", + "TFT_Item_RapidFireCannon", + "TFT_Item_Artifact_TalismanOfAscension", + "TFT14_MordekaiserCyberneticItem_Radiant", + "TFT14_NaafiriCyberneticItem", + "TFT_Item_Artifact_InnervatingLocket", + "TFT14_ZeriCyberneticItem_Radiant", + "TFT_Item_Spatula", + "TFT_Item_GargoyleStoneplate", + "TFT_Item_GuinsoosRageblade", + "TFT_Item_Artifact_TheIndomitable", + "TFT14_Item_MobEmblemItem", + "TFT5_Item_BlueBuffRadiant", + "TFT7_Item_ShimmerscaleGamblersBlade", + "TFT5_Item_TitansResolveRadiant", + "TFT14_Item_CutterEmblemItem", + "TFT_Item_LastWhisper", + "TFT14_Item_TechieEmblemItem", + "TFT4_Item_OrnnTheCollector", + "TFT9_Item_OrnnHorizonFocus", + "TFT_Item_ZekesHerald", + "TFT_Item_Crownguard", + "TFT_Item_UnstableTreasureChest", + "TFT_Item_RedBuff", + "TFT5_Item_HextechGunbladeRadiant", + "TFT5_Item_InfinityEdgeRadiant", + "TFT_Item_Zephyr", + "TFT5_Item_GuardianAngelRadiant", + "TFT14_Item_ThirstyEmblemItem", + "TFT5_Item_HandOfJusticeRadiant", + "TFT_Item_UnstableConcoction", + "TFT_Item_TacticiansScepter", + "TFT_Item_Artifact_NavoriFlickerblades", + "TFT5_Item_MorellonomiconRadiant", + "TFT5_Item_GuinsoosRagebladeRadiant", + "TFT14_Item_ControllerEmblemItem", + "TFT_Item_Artifact_SeekersArmguard", + "TFT_Item_Bloodthirster", + "TFT5_Item_FrozenHeartRadiant", + "TFT14_SejuaniCyberneticItem_Radiant", + "TFT14_Item_BallistekEmblemItem", + "TFT14_Item_EdgeRunnerEmblemItem", + "TFT5_Item_JeweledGauntletRadiant", + "TFT_Item_Artifact_SuspiciousTrenchCoat", + "TFT14_Item_DarkWebEmblemItem", + "TFT_Item_PowerGauntlet", + "TFT_Item_Shroud", + "TFT14_Item_SuitsEmblemItem", + "TFT9_Item_OrnnTrickstersGlass", + "TFT_Item_EternalFlame", + "TFT_Item_SupportKnightsVow", + "TFT_Item_MadredsBloodrazor", + "TFT5_Item_ArchangelsStaffRadiant", + "TFT_Item_SparringGloves", + "TFT_Item_FryingPan", + "TFT14_MordekaiserCyberneticItem", + "TFT5_Item_RapidFirecannonRadiant", + "TFT_Item_TearOfTheGoddess", + "TFT_Item_Artifact_RapidFirecannon", + "TFT_Item_ChainVest", + "TFT5_Item_RunaansHurricaneRadiant", + "TFT5_Item_AdaptiveHelmRadiant", + "TFT_Item_Artifact_BlightingJewel", + "TFT14_Item_ImmortalEmblemItem", + "TFT7_Item_ShimmerscaleHeartOfGold", + "TFT14_ZeriCyberneticItem", + "TFT_Item_AegisOfTheLegion", + "TFT5_Item_BrambleVestRadiant", + "TFT4_Item_OrnnMuramana", + "TFT_Item_ForceOfNature", + "TFT_Item_SpearOfShojin", + "TFT4_Item_OrnnInfinityForce", + "TFT_Item_DragonsClaw", + "TFT5_Item_SunfireCapeRadiant", + "TFT_Item_Artifact_ProwlersClaw", + "TFT5_Item_DragonsClawRadiant", + "TFT5_Item_SteraksGageRadiant", + "TFT_Item_Artifact_LudensTempest", + "TFT5_Item_RedemptionRadiant", + "TFT5_Item_NightHarvesterRadiant", + "TFT_Item_Artifact_WitsEnd", + "TFT_Item_Artifact_HorizonFocus", + "TFT7_Item_ShimmerscaleMogulsMail" + ], + "description": "TFT item ID to get champion recommendations for" + } + }, + "required": [ + "itemId" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "tft-play-style-comment", + "description": "This tool provides comments on the playstyle of TFT champions.", + "inputSchema": { + "type": "object", + "properties": { + "region": { + "type": "string", + "enum": [ + "KR", + "BR", + "EUNE", + "EUW", + "LAN", + "LAS", + "NA", + "OCE", + "RU", + "TR", + "JP", + "PH", + "SG", + "TH", + "TW", + "VN", + "ME" + ], + "description": "TFT region" + }, + "puuid": { + "type": "string", + "description": "Riot unique puuid value" + } + }, + "required": [ + "region", + "puuid" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "valorant-meta-maps", + "description": "Valorant map meta data", + "inputSchema": { + "type": "object", + "properties": {}, + "required": [] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "valorant-meta-characters", + "description": "Valorant character meta data", + "inputSchema": { + "type": "object", + "properties": {}, + "required": [] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "valorant-leaderboard", + "description": "Fetch Valorant leaderboard by region", + "inputSchema": { + "type": "object", + "properties": { + "region": { + "type": "string", + "enum": [ + "AP", + "BR", + "EU", + "KR", + "LATAM", + "NA" + ], + "description": "Regions in Valorant" + } + }, + "required": [ + "region" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "valorant-agents-composition-with-map", + "description": "Retrieve agent composition data for a Valorant map.", + "inputSchema": { + "type": "object", + "properties": { + "mapId": { + "type": "string", + "description": "Map ID in Valorant" + } + }, + "required": [ + "mapId" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "valorant-characters-statistics", + "description": "Retrieve character statistics data for Valorant, optionally filtered by map.", + "inputSchema": { + "type": "object", + "properties": { + "mapId": { + "type": "string", + "description": "Optional Map ID in Valorant" + } + } + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + }, + { + "name": "valorant-player-match-history", + "description": "Retrieve match history for a Valorant player using their game name and tag line.", + "inputSchema": { + "type": "object", + "properties": { + "gameName": { + "type": "string", + "description": "Game name of the player" + }, + "tagLine": { + "type": "string", + "description": "Tag line of the player" + } + }, + "required": [ + "gameName", + "tagLine" + ] + }, + "annotations": { + "title": null, + "readOnlyHint": true, + "destructiveHint": false, + "idempotentHint": false, + "openWorldHint": false + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "PDF Reader MCP Server", + "organization": "sylphxltd", + "description": "Empower your AI agents (like Cline) with the ability to securely read and extract information (text, metadata, page count) from PDF files within your project context using a single, flexible tool.", + "web": "https://github.com/sylphxltd/pdf-reader-mcp", + "config": { + "mcpServers": { + "pdf-reader-mcp": { + "command": "npx", + "args": [ + "@sylphlab/pdf-reader-mcp" + ], + "name": "PDF Reader (npx)" + } + } + }, + "category": "File Access", + "tools": { + "pdf-reader-mcp": { + "server_name": "pdf-reader-mcp", + "version": "0.1.0", + "tools": [ + { + "name": "read_pdf", + "description": "Reads content/metadata from one or more PDFs (local/URL). Each source can specify pages to extract.", + "inputSchema": { + "type": "object", + "properties": { + "sources": { + "type": "array", + "items": { + "type": "object", + "properties": { + "path": { + "type": "string", + "minLength": 1, + "description": "Relative path to the local PDF file." + }, + "url": { + "type": "string", + "format": "uri", + "description": "URL of the PDF file." + }, + "pages": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "integer", + "exclusiveMinimum": true, + "minimum": 0 + }, + "minItems": 1 + }, + { + "type": "string", + "minLength": 1 + } + ], + "description": "Extract text only from specific pages (1-based) or ranges for *this specific source*. If provided, 'include_full_text' for the entire request is ignored for this source." + } + }, + "additionalProperties": false + }, + "minItems": 1, + "description": "An array of PDF sources to process, each can optionally specify pages." + }, + "include_full_text": { + "type": "boolean", + "default": false, + "description": "Include the full text content of each PDF (only if 'pages' is not specified for that source)." + }, + "include_metadata": { + "type": "boolean", + "default": true, + "description": "Include metadata and info objects for each PDF." + }, + "include_page_count": { + "type": "boolean", + "default": true, + "description": "Include the total number of pages for each PDF." + } + }, + "required": [ + "sources" + ], + "additionalProperties": false + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "HowToCook-MCP Server", + "organization": "worryzyy", + "description": "An MCP (Model Context Protocol) server based on Anduin2017/HowToCook, allowing AI assistants to recommend recipes, plan meals, and solve the age-old question of \"what should I eat today?\"", + "web": "https://github.com/worryzyy/HowToCook-mcp", + "config": { + "mcpServers": { + "howtocook-mcp": { + "command": "npx", + "args": [ + "-y", + "howtocook-mcp" + ] + } + } + }, + "category": "Discovery", + "tools": { + "howtocook-mcp": { + "server_name": "howtocook-mcp", + "version": "0.1.0", + "tools": [ + { + "name": "mcp_howtocook_getAllRecipes", + "description": "获取所有菜谱", + "inputSchema": { + "type": "object", + "properties": { + "no_param": { + "type": "string", + "description": "无参数" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "mcp_howtocook_getRecipesByCategory", + "description": "根据分类查询菜谱，可选分类有: 水产, 早餐, 调料, 甜品, 饮品, 荤菜, 半成品加工, 汤, 主食, 素菜", + "inputSchema": { + "type": "object", + "properties": { + "category": { + "type": "string", + "enum": [ + "水产", + "早餐", + "调料", + "甜品", + "饮品", + "荤菜", + "半成品加工", + "汤", + "主食", + "素菜" + ], + "description": "菜谱分类名称，如水产、早餐、荤菜、主食等" + } + }, + "required": [ + "category" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "mcp_howtocook_recommendMeals", + "description": "根据用户的忌口、过敏原、人数智能推荐菜谱，创建一周的膳食计划以及大致的购物清单", + "inputSchema": { + "type": "object", + "properties": { + "allergies": { + "type": "array", + "items": { + "type": "string" + }, + "description": "过敏原列表，如[\"大蒜\", \"虾\"]" + }, + "avoidItems": { + "type": "array", + "items": { + "type": "string" + }, + "description": "忌口食材列表，如[\"葱\", \"姜\"]" + }, + "peopleCount": { + "type": "integer", + "minimum": 1, + "maximum": 10, + "description": "用餐人数，1-10之间的整数" + } + }, + "required": [ + "peopleCount" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "mcp_howtocook_whatToEat", + "description": "不知道吃什么？根据人数直接推荐适合的菜品组合", + "inputSchema": { + "type": "object", + "properties": { + "peopleCount": { + "type": "integer", + "minimum": 1, + "maximum": 10, + "description": "用餐人数，1-10之间的整数，会根据人数推荐合适数量的菜品" + } + }, + "required": [ + "peopleCount" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "mcp_howtocook_getRecipeById", + "description": "根据菜谱名称或ID查询指定菜谱的完整详情，包括食材、步骤等", + "inputSchema": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "菜谱名称或ID，支持模糊匹配菜谱名称" + } + }, + "required": [ + "query" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "BioMCP: Biomedical Model Context Protocol", + "organization": "genomoncology", + "description": "BioMCP is an open source (MIT License) toolkit that empowers AI assistants and agents with specialized biomedical knowledge. Built following the Model Context Protocol (MCP), it connects AI systems to authoritative biomedical data sources, enabling them to answer questions about clinical trials, scientific literature, and genomic variants with precision and depth.", + "web": "https://github.com/genomoncology/biomcp", + "config": { + "mcpServers": { + "biomcp": { + "command": "uv", + "args": [ + "run", + "--with", + "biomcp-python", + "biomcp", + "run" + ] + } + } + }, + "category": "Discovery", + "tools": { + "biomcp": { + "server_name": "biomcp", + "version": "0.1.0", + "tools": [ + { + "name": "search", + "description": "Search biomedical literature, clinical trials, and genetic variants.\n\n ⚠️ IMPORTANT: Have you used the 'think' tool first? If not, STOP and use it NOW!\n The 'think' tool is REQUIRED for proper research planning and should be your FIRST step.\n\n This tool provides access to biomedical data from PubMed/PubTator3, ClinicalTrials.gov,\n and MyVariant.info. It supports two search modes:\n\n ## 1. UNIFIED QUERY LANGUAGE\n Use the 'query' parameter with field-based syntax for precise cross-domain searches.\n\n Syntax:\n - Basic: \"gene:BRAF\"\n - AND logic: \"gene:BRAF AND disease:melanoma\"\n - OR logic: \"gene:PTEN AND (R173 OR Arg173 OR 'position 173')\"\n - Domain-specific: \"trials.condition:melanoma AND trials.phase:3\"\n\n Common fields:\n - Cross-domain: gene, disease, variant, chemical/drug\n - Articles: pmid, title, abstract, journal, author\n - Trials: trials.condition, trials.intervention, trials.phase, trials.status\n - Variants: variants.hgvs, variants.rsid, variants.significance\n\n Example:\n ```\n await search(\n query=\"gene:BRAF AND disease:melanoma AND trials.phase:3\",\n max_results_per_domain=20\n )\n ```\n\n ## 2. DOMAIN-SPECIFIC SEARCH\n Use the 'domain' parameter with specific filters for targeted searches.\n\n Domains:\n - \"article\": Search PubMed/PubTator3 for research articles and preprints ABOUT genes, variants, diseases, or chemicals\n - \"trial\": Search ClinicalTrials.gov for clinical studies\n - \"variant\": Search MyVariant.info for genetic variant DATABASE RECORDS (population frequency, clinical significance, etc.) - NOT for articles about variants!\n\n Example:\n ```\n await search(\n domain=\"article\",\n genes=[\"BRAF\", \"NRAS\"],\n diseases=[\"melanoma\"],\n page_size=50\n )\n ```\n\n ## DOMAIN SELECTION EXAMPLES:\n - To find ARTICLES about BRAF V600E mutation: domain=\"article\", genes=[\"BRAF\"], variants=[\"V600E\"]\n - To find VARIANT DATA for BRAF mutations: domain=\"variant\", gene=\"BRAF\"\n - To find articles about ERBB2 p.D277Y: domain=\"article\", genes=[\"ERBB2\"], variants=[\"p.D277Y\"]\n - Common mistake: Using domain=\"variant\" when you want articles about a variant\n\n ## IMPORTANT NOTES:\n - For complex research questions, use the separate 'think' tool for systematic analysis\n - The tool returns results in OpenAI MCP format: {\"results\": [{\"id\", \"title\", \"text\", \"url\"}, ...]}\n - Search results do NOT include metadata (per OpenAI MCP specification)\n - Use the fetch tool to get detailed metadata for specific records\n - Use get_schema=True to explore available search fields\n - Use explain_query=True to understand query parsing (unified mode)\n - Domain-specific searches use AND logic for multiple values\n - For OR logic, use the unified query language\n - NEW: Article search keywords support OR with pipe separator: \"R173|Arg173|p.R173\"\n - Remember: domain=\"article\" finds LITERATURE, domain=\"variant\" finds DATABASE RECORDS\n\n ## RETURN FORMAT:\n All search modes return results in this format:\n ```json\n {\n \"results\": [\n {\n \"id\": \"unique_identifier\",\n \"title\": \"Human-readable title\",\n \"text\": \"Summary or snippet of content\",\n \"url\": \"Link to full resource\"\n }\n ]\n }\n ```\n ", + "inputSchema": { + "properties": { + "query": { + "title": "Query", + "type": "string" + }, + "call_benefit": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Brief explanation of why this search is being performed and expected benefit. Helps improve search accuracy and provides context for analytics. Highly recommended for better results.", + "title": "Call Benefit" + }, + "domain": { + "anyOf": [ + { + "enum": [ + "article", + "trial", + "variant" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Domain to search: 'article' for papers/literature ABOUT genes/variants/diseases, 'trial' for clinical studies, 'variant' for genetic variant DATABASE RECORDS (NOT articles about variants)", + "title": "Domain" + }, + "genes": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Genes" + }, + "diseases": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Diseases" + }, + "variants": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Variants" + }, + "chemicals": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Chemicals" + }, + "keywords": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Keywords" + }, + "conditions": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Conditions" + }, + "interventions": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Interventions" + }, + "recruiting_status": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Recruiting Status" + }, + "phase": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Phase" + }, + "significance": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Significance" + }, + "lat": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Lat" + }, + "long": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Long" + }, + "distance": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Distance" + }, + "page": { + "default": 1, + "title": "Page", + "type": "integer" + }, + "page_size": { + "default": 10, + "title": "Page Size", + "type": "integer" + }, + "max_results_per_domain": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Max Results Per Domain" + }, + "explain_query": { + "default": false, + "title": "Explain Query", + "type": "boolean" + }, + "get_schema": { + "default": false, + "title": "Get Schema", + "type": "boolean" + } + }, + "required": [ + "query" + ], + "title": "searchArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "fetch", + "description": "Fetch comprehensive details for a specific biomedical record.\n\n This tool retrieves full information for articles, clinical trials, or genetic variants\n using their unique identifiers. It returns data in a standardized format suitable for\n detailed analysis and research.\n\n ## IDENTIFIER FORMATS:\n - Articles: PMID (PubMed ID) - e.g., \"35271234\" OR DOI - e.g., \"10.1101/2024.01.20.23288905\"\n - Trials: NCT ID (ClinicalTrials.gov ID) - e.g., \"NCT04280705\"\n - Variants: HGVS notation or dbSNP ID - e.g., \"chr7:g.140453136A>T\" or \"rs121913254\"\n\n The domain is automatically detected from the ID format if not provided:\n - NCT* → trial\n - Contains \"/\" with numeric prefix (DOI) → article\n - Pure numeric → article (PMID)\n - rs* or contains ':' or 'g.' → variant\n\n ## DOMAIN-SPECIFIC OPTIONS:\n\n ### Articles (domain=\"article\"):\n - Returns full article metadata, abstract, and full text when available\n - Supports both PubMed articles (via PMID) and Europe PMC preprints (via DOI)\n - Includes annotations for genes, diseases, chemicals, and variants (PubMed only)\n - detail=\"full\" attempts to retrieve full text content (PubMed only)\n\n ### Clinical Trials (domain=\"trial\"):\n - detail=None or \"protocol\": Core study information\n - detail=\"locations\": Study sites and contact information\n - detail=\"outcomes\": Primary/secondary outcomes and results\n - detail=\"references\": Related publications and citations\n - detail=\"all\": Complete trial record with all sections\n\n ### Variants (domain=\"variant\"):\n - Returns comprehensive variant information including:\n - Clinical significance and interpretations\n - Population frequencies\n - Gene/protein effects\n - External database links\n - detail parameter is ignored (always returns full data)\n\n ## RETURN FORMAT:\n All fetch operations return a standardized format:\n ```json\n {\n \"id\": \"unique_identifier\",\n \"title\": \"Record title or name\",\n \"text\": \"Full content or comprehensive description\",\n \"url\": \"Link to original source\",\n \"metadata\": {\n // Domain-specific additional fields\n }\n }\n ```\n\n ## EXAMPLES:\n\n Fetch article by PMID (domain auto-detected):\n ```\n await fetch(id=\"35271234\")\n ```\n\n Fetch article by DOI (domain auto-detected):\n ```\n await fetch(id=\"10.1101/2024.01.20.23288905\")\n ```\n\n Fetch complete trial information (domain auto-detected):\n ```\n await fetch(\n id=\"NCT04280705\",\n detail=\"all\"\n )\n ```\n\n Fetch variant with clinical interpretations:\n ```\n await fetch(id=\"rs121913254\")\n ```\n\n Explicitly specify domain (optional):\n ```\n await fetch(\n domain=\"variant\",\n id=\"chr7:g.140453136A>T\"\n )\n ```\n ", + "inputSchema": { + "properties": { + "id": { + "title": "Id", + "type": "string" + }, + "domain": { + "anyOf": [ + { + "enum": [ + "article", + "trial", + "variant" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Domain of the record (auto-detected if not provided)", + "title": "Domain" + }, + "call_benefit": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Brief explanation of why this fetch is being performed and expected benefit. Helps provide context for analytics and improves result relevance.", + "title": "Call Benefit" + }, + "detail": { + "anyOf": [ + { + "enum": [ + "protocol", + "locations", + "outcomes", + "references", + "all", + "full" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Detail" + } + }, + "required": [ + "id" + ], + "title": "fetchArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "think", + "description": "REQUIRED FIRST STEP: Perform structured sequential thinking for ANY biomedical research task.\n\n 🚨 IMPORTANT: You MUST use this tool BEFORE any search or fetch operations when:\n - Researching ANY biomedical topic (genes, diseases, variants, trials)\n - Planning to use multiple BioMCP tools\n - Answering questions that require analysis or synthesis\n - Comparing information from different sources\n - Making recommendations or drawing conclusions\n\n ⚠️ FAILURE TO USE THIS TOOL FIRST will result in:\n - Incomplete or poorly structured analysis\n - Missing important connections between data\n - Suboptimal search strategies\n - Overlooked critical information\n\n Sequential thinking ensures you:\n 1. Fully understand the research question\n 2. Plan an optimal search strategy\n 3. Identify all relevant data sources\n 4. Structure your analysis properly\n 5. Deliver comprehensive, well-reasoned results\n\n ## Usage Pattern:\n 1. Start with thoughtNumber=1 to initiate analysis\n 2. Progress through numbered thoughts sequentially\n 3. Adjust totalThoughts estimate as understanding develops\n 4. Set nextThoughtNeeded=False only when analysis is complete\n\n ## Example:\n ```python\n # Initial analysis\n await think(\n thought=\"Breaking down the relationship between BRAF mutations and melanoma treatment resistance...\",\n thoughtNumber=1,\n totalThoughts=5,\n nextThoughtNeeded=True\n )\n\n # Continue analysis\n await think(\n thought=\"Examining specific BRAF V600E mutation mechanisms...\",\n thoughtNumber=2,\n totalThoughts=5,\n nextThoughtNeeded=True\n )\n\n # Final thought\n await think(\n thought=\"Synthesizing findings and proposing research directions...\",\n thoughtNumber=5,\n totalThoughts=5,\n nextThoughtNeeded=False\n )\n ```\n\n ## Important Notes:\n - Each thought builds on previous ones within a session\n - State is maintained throughout the MCP session\n - Use thoughtful, detailed analysis in each step\n - Revisions and branching are supported through the underlying implementation\n ", + "inputSchema": { + "properties": { + "thought": { + "description": "Current thinking step for analysis", + "title": "Thought", + "type": "string" + }, + "thoughtNumber": { + "description": "Current thought number, starting at 1", + "minimum": 1, + "title": "Thoughtnumber", + "type": "integer" + }, + "totalThoughts": { + "description": "Estimated total thoughts needed for complete analysis", + "minimum": 1, + "title": "Totalthoughts", + "type": "integer" + }, + "nextThoughtNeeded": { + "default": true, + "description": "Whether more thinking steps are needed after this one", + "title": "Nextthoughtneeded", + "type": "boolean" + } + }, + "required": [ + "thought", + "thoughtNumber", + "totalThoughts" + ], + "title": "thinkArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "article_searcher", + "description": "Search PubMed/PubTator3 for research articles and preprints.\n\n ⚠️ PREREQUISITE: Use the 'think' tool FIRST to plan your research strategy!\n\n Use this tool to find scientific literature ABOUT genes, variants, diseases, or chemicals.\n Results include articles from PubMed and optionally preprints from bioRxiv/medRxiv.\n\n Important: This searches for ARTICLES ABOUT these topics, not database records.\n For genetic variant database records, use variant_searcher instead.\n\n Example usage:\n - Find articles about BRAF mutations in melanoma\n - Search for papers on a specific drug's effects\n - Locate research on gene-disease associations\n ", + "inputSchema": { + "properties": { + "chemicals": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Chemical/drug names to search for", + "title": "Chemicals" + }, + "diseases": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Disease names to search for", + "title": "Diseases" + }, + "genes": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Gene symbols to search for", + "title": "Genes" + }, + "keywords": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Free-text keywords to search for", + "title": "Keywords" + }, + "variants": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Variant strings to search for (e.g., 'V600E', 'p.D277Y')", + "title": "Variants" + }, + "include_preprints": { + "default": true, + "description": "Include preprints from bioRxiv/medRxiv", + "title": "Include Preprints", + "type": "boolean" + }, + "include_cbioportal": { + "default": true, + "description": "Include cBioPortal cancer genomics summary when searching by gene", + "title": "Include Cbioportal", + "type": "boolean" + }, + "page": { + "default": 1, + "description": "Page number (1-based)", + "minimum": 1, + "title": "Page", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "Results per page", + "maximum": 100, + "minimum": 1, + "title": "Page Size", + "type": "integer" + } + }, + "title": "article_searcherArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "article_searcherOutput", + "type": "object" + } + }, + { + "name": "article_getter", + "description": "Fetch detailed information for a specific article.\n\n Retrieves the full abstract and available text for an article by its identifier.\n Supports:\n - PubMed IDs (PMID) for published articles\n - PMC IDs for articles in PubMed Central\n - DOIs for preprints from Europe PMC\n\n Returns formatted text including:\n - Title\n - Abstract\n - Full text (when available from PMC for published articles)\n - Source information (PubMed or Europe PMC)\n ", + "inputSchema": { + "properties": { + "pmid": { + "description": "Article identifier - either a PubMed ID (e.g., '38768446' or 'PMC11193658') or DOI (e.g., '10.1101/2024.01.20.23288905')", + "title": "Pmid", + "type": "string" + } + }, + "required": [ + "pmid" + ], + "title": "article_getterArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "article_getterOutput", + "type": "object" + } + }, + { + "name": "trial_searcher", + "description": "Search ClinicalTrials.gov for clinical studies.\n\n ⚠️ PREREQUISITE: Use the 'think' tool FIRST to plan your research strategy!\n\n Comprehensive search tool for finding clinical trials based on multiple criteria.\n Supports filtering by conditions, interventions, location, phase, and eligibility.\n\n Location search notes:\n - Use either location term OR lat/long coordinates, not both\n - For city-based searches, AI agents should geocode to lat/long first\n - Distance parameter only works with lat/long coordinates\n\n Returns a formatted list of matching trials with key details.\n ", + "inputSchema": { + "properties": { + "conditions": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Medical conditions to search for", + "title": "Conditions" + }, + "interventions": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Treatment interventions to search for", + "title": "Interventions" + }, + "other_terms": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Additional search terms", + "title": "Other Terms" + }, + "recruiting_status": { + "anyOf": [ + { + "enum": [ + "OPEN", + "CLOSED", + "ANY" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Filter by recruiting status", + "title": "Recruiting Status" + }, + "phase": { + "anyOf": [ + { + "enum": [ + "EARLY_PHASE1", + "PHASE1", + "PHASE2", + "PHASE3", + "PHASE4", + "NOT_APPLICABLE" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Filter by clinical trial phase", + "title": "Phase" + }, + "location": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Location term for geographic filtering", + "title": "Location" + }, + "lat": { + "anyOf": [ + { + "maximum": 90, + "minimum": -90, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Latitude for location-based search. AI agents should geocode city names before using.", + "title": "Lat" + }, + "long": { + "anyOf": [ + { + "maximum": 180, + "minimum": -180, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Longitude for location-based search. AI agents should geocode city names before using.", + "title": "Long" + }, + "distance": { + "anyOf": [ + { + "minimum": 1, + "type": "integer" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Distance in miles from lat/long coordinates", + "title": "Distance" + }, + "age_group": { + "anyOf": [ + { + "enum": [ + "CHILD", + "ADULT", + "OLDER_ADULT" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Filter by age group", + "title": "Age Group" + }, + "sex": { + "anyOf": [ + { + "enum": [ + "FEMALE", + "MALE", + "ALL" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Filter by biological sex", + "title": "Sex" + }, + "healthy_volunteers": { + "anyOf": [ + { + "enum": [ + "YES", + "NO" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Filter by healthy volunteer eligibility", + "title": "Healthy Volunteers" + }, + "study_type": { + "anyOf": [ + { + "enum": [ + "INTERVENTIONAL", + "OBSERVATIONAL", + "EXPANDED_ACCESS" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Filter by study type", + "title": "Study Type" + }, + "funder_type": { + "anyOf": [ + { + "enum": [ + "NIH", + "OTHER_GOV", + "INDUSTRY", + "OTHER" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Filter by funding source", + "title": "Funder Type" + }, + "page": { + "default": 1, + "description": "Page number (1-based)", + "minimum": 1, + "title": "Page", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "Results per page", + "maximum": 100, + "minimum": 1, + "title": "Page Size", + "type": "integer" + } + }, + "title": "trial_searcherArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "trial_searcherOutput", + "type": "object" + } + }, + { + "name": "trial_getter", + "description": "Fetch comprehensive details for a specific clinical trial.\n\n Retrieves all available information for a clinical trial by its NCT ID.\n This includes protocol details, locations, outcomes, and references.\n\n For specific sections only, use the specialized getter tools:\n - trial_protocol_getter: Core protocol information\n - trial_locations_getter: Site locations and contacts\n - trial_outcomes_getter: Primary/secondary outcomes and results\n - trial_references_getter: Publications and references\n ", + "inputSchema": { + "properties": { + "nct_id": { + "description": "NCT ID (e.g., 'NCT06524388')", + "title": "Nct Id", + "type": "string" + } + }, + "required": [ + "nct_id" + ], + "title": "trial_getterArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "trial_getterOutput", + "type": "object" + } + }, + { + "name": "trial_protocol_getter", + "description": "Fetch core protocol information for a clinical trial.\n\n Retrieves essential protocol details including:\n - Official title and brief summary\n - Study status and sponsor information\n - Study design (type, phase, allocation, masking)\n - Eligibility criteria\n - Primary completion date\n ", + "inputSchema": { + "properties": { + "nct_id": { + "description": "NCT ID (e.g., 'NCT06524388')", + "title": "Nct Id", + "type": "string" + } + }, + "required": [ + "nct_id" + ], + "title": "trial_protocol_getterArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "trial_protocol_getterOutput", + "type": "object" + } + }, + { + "name": "trial_references_getter", + "description": "Fetch publications and references for a clinical trial.\n\n Retrieves all linked publications including:\n - Published results papers\n - Background literature\n - Protocol publications\n - Related analyses\n\n Includes PubMed IDs when available for easy cross-referencing.\n ", + "inputSchema": { + "properties": { + "nct_id": { + "description": "NCT ID (e.g., 'NCT06524388')", + "title": "Nct Id", + "type": "string" + } + }, + "required": [ + "nct_id" + ], + "title": "trial_references_getterArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "trial_references_getterOutput", + "type": "object" + } + }, + { + "name": "trial_outcomes_getter", + "description": "Fetch outcome measures and results for a clinical trial.\n\n Retrieves detailed outcome information including:\n - Primary outcome measures\n - Secondary outcome measures\n - Results data (if available)\n - Adverse events (if reported)\n\n Note: Results are only available for completed trials that have posted data.\n ", + "inputSchema": { + "properties": { + "nct_id": { + "description": "NCT ID (e.g., 'NCT06524388')", + "title": "Nct Id", + "type": "string" + } + }, + "required": [ + "nct_id" + ], + "title": "trial_outcomes_getterArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "trial_outcomes_getterOutput", + "type": "object" + } + }, + { + "name": "trial_locations_getter", + "description": "Fetch contact and location details for a clinical trial.\n\n Retrieves all study locations including:\n - Facility names and addresses\n - Principal investigator information\n - Contact details (when recruiting)\n - Recruitment status by site\n\n Useful for finding trials near specific locations or contacting study teams.\n ", + "inputSchema": { + "properties": { + "nct_id": { + "description": "NCT ID (e.g., 'NCT06524388')", + "title": "Nct Id", + "type": "string" + } + }, + "required": [ + "nct_id" + ], + "title": "trial_locations_getterArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "trial_locations_getterOutput", + "type": "object" + } + }, + { + "name": "variant_searcher", + "description": "Search MyVariant.info for genetic variant DATABASE RECORDS.\n\n ⚠️ PREREQUISITE: Use the 'think' tool FIRST to plan your research strategy!\n\n Important: This searches for variant DATABASE RECORDS (frequency, significance, etc.),\n NOT articles about variants. For articles about variants, use article_searcher.\n\n Searches the comprehensive variant database including:\n - Population frequencies (gnomAD, 1000 Genomes, etc.)\n - Clinical significance (ClinVar)\n - Functional predictions (SIFT, PolyPhen, CADD)\n - Gene and protein consequences\n\n Search by various identifiers or filter by clinical/functional criteria.\n ", + "inputSchema": { + "properties": { + "gene": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Gene symbol (e.g., 'BRAF', 'TP53')", + "title": "Gene" + }, + "hgvs": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "HGVS notation (genomic, coding, or protein)", + "title": "Hgvs" + }, + "hgvsp": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Protein change in HGVS format (e.g., 'p.V600E')", + "title": "Hgvsp" + }, + "hgvsc": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Coding sequence change (e.g., 'c.1799T>A')", + "title": "Hgvsc" + }, + "rsid": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "dbSNP rsID (e.g., 'rs113488022')", + "title": "Rsid" + }, + "region": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Genomic region (e.g., 'chr7:140753336-140753337')", + "title": "Region" + }, + "significance": { + "anyOf": [ + { + "enum": [ + "pathogenic", + "likely_pathogenic", + "uncertain_significance", + "likely_benign", + "benign", + "conflicting" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Clinical significance filter", + "title": "Significance" + }, + "frequency_min": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Minimum allele frequency", + "title": "Frequency Min" + }, + "frequency_max": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Maximum allele frequency", + "title": "Frequency Max" + }, + "consequence": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Variant consequence (e.g., 'missense_variant')", + "title": "Consequence" + }, + "cadd_score_min": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Minimum CADD score for pathogenicity", + "title": "Cadd Score Min" + }, + "sift_prediction": { + "anyOf": [ + { + "enum": [ + "deleterious", + "tolerated" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "SIFT functional prediction", + "title": "Sift Prediction" + }, + "polyphen_prediction": { + "anyOf": [ + { + "enum": [ + "probably_damaging", + "possibly_damaging", + "benign" + ], + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "PolyPhen-2 functional prediction", + "title": "Polyphen Prediction" + }, + "include_cbioportal": { + "default": true, + "description": "Include cBioPortal cancer genomics summary when searching by gene", + "title": "Include Cbioportal", + "type": "boolean" + }, + "page": { + "default": 1, + "description": "Page number (1-based)", + "minimum": 1, + "title": "Page", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "Results per page", + "maximum": 100, + "minimum": 1, + "title": "Page Size", + "type": "integer" + } + }, + "title": "variant_searcherArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "variant_searcherOutput", + "type": "object" + } + }, + { + "name": "variant_getter", + "description": "Fetch comprehensive details for a specific genetic variant.\n\n Retrieves all available information for a variant including:\n - Gene location and consequences\n - Population frequencies across databases\n - Clinical significance from ClinVar\n - Functional predictions\n - External annotations (TCGA cancer data, conservation scores)\n\n Accepts various ID formats:\n - HGVS: NM_004333.4:c.1799T>A\n - rsID: rs113488022\n - MyVariant ID: chr7:g.140753336A>T\n ", + "inputSchema": { + "properties": { + "variant_id": { + "description": "Variant ID (HGVS, rsID, or MyVariant ID like 'chr7:g.140753336A>T')", + "title": "Variant Id", + "type": "string" + }, + "include_external": { + "default": true, + "description": "Include external annotations (TCGA, 1000 Genomes, functional predictions)", + "title": "Include External", + "type": "boolean" + } + }, + "required": [ + "variant_id" + ], + "title": "variant_getterArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "variant_getterOutput", + "type": "object" + } + }, + { + "name": "alphagenome_predictor", + "description": "Predict variant effects on gene regulation using Google DeepMind's AlphaGenome.\n\n ⚠️ PREREQUISITE: Use the 'think' tool FIRST to plan your analysis strategy!\n\n AlphaGenome provides state-of-the-art predictions for how genetic variants\n affect gene regulation, including:\n - Gene expression changes (RNA-seq)\n - Chromatin accessibility impacts (ATAC-seq, DNase-seq)\n - Splicing alterations\n - Promoter activity changes (CAGE)\n\n This tool requires:\n 1. AlphaGenome to be installed (see error message for instructions)\n 2. An API key from https://deepmind.google.com/science/alphagenome\n\n API Key Options:\n - Provide directly via the api_key parameter\n - Or set ALPHAGENOME_API_KEY environment variable\n\n Example usage:\n - Predict regulatory effects of BRAF V600E mutation: chr7:140753336 A>T\n - Assess non-coding variant impact on gene expression\n - Evaluate promoter variants in specific tissues\n\n Note: This is an optional tool that enhances variant interpretation\n with AI predictions. Standard annotations remain available via variant_getter.\n ", + "inputSchema": { + "properties": { + "chromosome": { + "description": "Chromosome (e.g., 'chr7', 'chrX')", + "title": "Chromosome", + "type": "string" + }, + "position": { + "description": "1-based genomic position of the variant", + "title": "Position", + "type": "integer" + }, + "reference": { + "description": "Reference allele(s) (e.g., 'A', 'ATG')", + "title": "Reference", + "type": "string" + }, + "alternate": { + "description": "Alternate allele(s) (e.g., 'T', 'A')", + "title": "Alternate", + "type": "string" + }, + "interval_size": { + "default": 131072, + "description": "Size of genomic interval to analyze in bp (max 1,000,000)", + "maximum": 1000000, + "minimum": 2000, + "title": "Interval Size", + "type": "integer" + }, + "tissue_types": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "UBERON ontology terms for tissue-specific predictions (e.g., 'UBERON:0002367' for external ear)", + "title": "Tissue Types" + }, + "significance_threshold": { + "default": 0.5, + "description": "Threshold for significant log2 fold changes (default: 0.5)", + "maximum": 5.0, + "minimum": 0.0, + "title": "Significance Threshold", + "type": "number" + }, + "api_key": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "AlphaGenome API key. Check if user mentioned 'my AlphaGenome API key is...' in their message. If not provided here and no env var is set, user will be prompted to provide one.", + "title": "Api Key" + } + }, + "required": [ + "chromosome", + "position", + "reference", + "alternate" + ], + "title": "alphagenome_predictorArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "alphagenome_predictorOutput", + "type": "object" + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "duckduckgo-search MCP Server", + "description": "A Model Context Protocol server for DuckDuckGo Search", + "web": "https://github.com/zhsama/duckduckgo-mcp-server", + "config": { + "mcpServers": { + "duckduckgo-search": { + "command": "npx", + "args": [ + "-y", + "duckduckgo-mcp-server" + ] + } + } + }, + "category": "Discovery", + "tools": { + "duckduckgo-search": { + "server_name": "duckduckgo-search", + "version": "0.1.0", + "tools": [ + { + "name": "duckduckgo_web_search", + "description": "Performs a web search using the DuckDuckGo, ideal for general queries, news, articles, and online content. Use this for broad information gathering, recent events, or when you need diverse web sources. Supports content filtering and region-specific searches. Maximum 20 results per request.", + "inputSchema": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "Search query (max 400 chars)", + "maxLength": 400 + }, + "count": { + "type": "number", + "description": "Number of results (1-20, default 10)", + "minimum": 1, + "maximum": 20, + "default": 10 + }, + "safeSearch": { + "type": "string", + "description": "SafeSearch level (strict, moderate, off)", + "enum": [ + "strict", + "moderate", + "off" + ], + "default": "moderate" + } + }, + "required": [ + "query" + ] + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Baige (ygocdb.com) MCP Server", + "organization": "lieyanqzu", + "description": "A server based on Model Context Protocol (MCP) for interacting with the Baige (ygocdb.com) API. Provides a set of tools for querying Yu-Gi-Oh! card information in Chinese.", + "web": "https://github.com/lieyanqzu/ygocdb-mcp", + "config": { + "mcpServers": { + "ygocdb": { + "command": "npx", + "args": [ + "ygocdb-mcp-server" + ] + } + } + }, + "category": "Discovery", + "tools": { + "ygocdb": { + "server_name": "ygocdb", + "version": "0.1.0", + "tools": [ + { + "name": "search_cards", + "description": "通过关键字搜索游戏王卡牌，可以搜索卡牌名称、效果文本等。", + "inputSchema": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "搜索关键字，可以是卡牌名称、效果描述等" + } + }, + "required": [ + "query" + ] + }, + "annotations": { + "title": "通过关键字搜索游戏王卡牌", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": null, + "openWorldHint": true + } + }, + { + "name": "get_card_by_id", + "description": "通过卡牌ID获取单张游戏王卡牌的详细信息", + "inputSchema": { + "type": "object", + "properties": { + "id": { + "type": "string", + "description": "游戏王卡牌ID，通常为八位数字" + } + }, + "required": [ + "id" + ] + }, + "annotations": { + "title": "通过ID获取单张游戏王卡牌", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": null, + "openWorldHint": true + } + }, + { + "name": "get_card_image", + "description": "通过卡牌ID获取游戏王卡牌的图片", + "inputSchema": { + "type": "object", + "properties": { + "id": { + "type": "string", + "description": "游戏王卡牌ID，可以使用search_cards工具搜索" + } + }, + "required": [ + "id" + ] + }, + "annotations": { + "title": "通过ID获取游戏王卡牌图片", + "readOnlyHint": true, + "destructiveHint": null, + "idempotentHint": null, + "openWorldHint": true + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "MCP Image Extractor", + "description": "MCP server for extracting and converting images to base64 for LLM analysis.", + "web": "https://github.com/ifmelate/mcp-image-extractor", + "config": { + "mcpServers": { + "image-extractor": { + "command": "npx", + "args": [ + "-y", + "mcp-image-extractor" + ] + } + } + }, + "category": "Visualization", + "tools": { + "image-extractor": { + "server_name": "image-extractor", + "version": "0.1.0", + "tools": [ + { + "name": "extract_image_from_file", + "description": "Extract and analyze images from local file paths. Supports visual content understanding, OCR text extraction, and object recognition for screenshots, photos, diagrams, and documents.", + "inputSchema": { + "type": "object", + "properties": { + "file_path": { + "type": "string", + "description": "Path to the image file to analyze (supports screenshots, photos, diagrams, and documents in PNG, JPG, GIF, WebP formats)" + }, + "resize": { + "type": "boolean", + "default": true, + "description": "For backward compatibility only. Images are always automatically resized to optimal dimensions (max 512x512) for LLM analysis" + }, + "max_width": { + "type": "number", + "default": 512, + "description": "For backward compatibility only. Default maximum width is now 512px" + }, + "max_height": { + "type": "number", + "default": 512, + "description": "For backward compatibility only. Default maximum height is now 512px" + } + }, + "required": [ + "file_path" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "extract_image_from_url", + "description": "Extract and analyze images from web URLs. Perfect for analyzing web screenshots, online photos, diagrams, or any image accessible via HTTP/HTTPS for visual content analysis and text extraction.", + "inputSchema": { + "type": "object", + "properties": { + "url": { + "type": "string", + "description": "URL of the image to analyze for visual content, text extraction, or object recognition (supports web screenshots, photos, diagrams)" + }, + "resize": { + "type": "boolean", + "default": true, + "description": "For backward compatibility only. Images are always automatically resized to optimal dimensions (max 512x512) for LLM analysis" + }, + "max_width": { + "type": "number", + "default": 512, + "description": "For backward compatibility only. Default maximum width is now 512px" + }, + "max_height": { + "type": "number", + "default": 512, + "description": "For backward compatibility only. Default maximum height is now 512px" + } + }, + "required": [ + "url" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "extract_image_from_base64", + "description": "Extract and analyze images from base64-encoded data. Ideal for processing screenshots from clipboard, dynamically generated images, or images embedded in applications without requiring file system access.", + "inputSchema": { + "type": "object", + "properties": { + "base64": { + "type": "string", + "description": "Base64-encoded image data to analyze (useful for screenshots, images from clipboard, or dynamically generated visuals)" + }, + "mime_type": { + "type": "string", + "default": "image/png", + "description": "MIME type of the image (e.g., image/png, image/jpeg)" + }, + "resize": { + "type": "boolean", + "default": true, + "description": "For backward compatibility only. Images are always automatically resized to optimal dimensions (max 512x512) for LLM analysis" + }, + "max_width": { + "type": "number", + "default": 512, + "description": "For backward compatibility only. Default maximum width is now 512px" + }, + "max_height": { + "type": "number", + "default": 512, + "description": "For backward compatibility only. Default maximum height is now 512px" + } + }, + "required": [ + "base64" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Trends Hub", + "organization": "baranwang", + "description": "基于 Model Context Protocol (MCP) 协议的全网热点趋势一站式聚合服务", + "web": "https://github.com/baranwang/mcp-trends-hub", + "config": { + "mcpServers": { + "trends-hub": { + "command": "npx", + "args": [ + "-y", + "mcp-trends-hub@1.6.2" + ] + } + } + }, + "category": "Discovery", + "tools": { + "trends-hub": { + "server_name": "trends-hub", + "version": "0.1.0", + "tools": [ + { + "name": "get-36kr-trending", + "description": "获取 36 氪热榜，提供创业、商业、科技领域的热门资讯，包含投融资动态、新兴产业分析和商业模式创新信息", + "inputSchema": { + "type": "object", + "properties": { + "type": { + "anyOf": [ + { + "type": "string", + "const": "hot", + "description": "人气榜" + }, + { + "type": "string", + "const": "video", + "description": "视频榜" + }, + { + "type": "string", + "const": "comment", + "description": "热议榜" + }, + { + "type": "string", + "const": "collect", + "description": "收藏榜" + } + ], + "default": "hot", + "description": "分类" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-9to5mac-news", + "description": "获取 9to5Mac 苹果相关新闻，包含苹果产品发布、iOS 更新、Mac 硬件、应用推荐及苹果公司动态的英文资讯", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-bbc-news", + "description": "获取 BBC 新闻，提供全球新闻、英国新闻、商业、政治、健康、教育、科技、娱乐等资讯", + "inputSchema": { + "type": "object", + "properties": { + "category": { + "anyOf": [ + { + "type": "string", + "const": "", + "description": "热门新闻" + }, + { + "type": "string", + "const": "world", + "description": "国际" + }, + { + "type": "string", + "const": "uk", + "description": "英国" + }, + { + "type": "string", + "const": "business", + "description": "商业" + }, + { + "type": "string", + "const": "politics", + "description": "政治" + }, + { + "type": "string", + "const": "health", + "description": "健康" + }, + { + "type": "string", + "const": "education", + "description": "教育" + }, + { + "type": "string", + "const": "science_and_environment", + "description": "科学与环境" + }, + { + "type": "string", + "const": "technology", + "description": "科技" + }, + { + "type": "string", + "const": "entertainment_and_arts", + "description": "娱乐与艺术" + } + ], + "default": "" + }, + "edition": { + "anyOf": [ + { + "type": "string", + "const": "" + }, + { + "type": "string", + "const": "uk", + "description": "UK" + }, + { + "type": "string", + "const": "us", + "description": "US & Canada" + }, + { + "type": "string", + "const": "int", + "description": "Rest of the world" + } + ], + "default": "", + "description": "版本，仅对 `category` 为空有效" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-bilibili-rank", + "description": "获取哔哩哔哩视频排行榜，包含全站、动画、音乐、游戏等多个分区的热门视频，反映当下年轻人的内容消费趋势", + "inputSchema": { + "type": "object", + "properties": { + "type": { + "anyOf": [ + { + "type": "number", + "const": 0, + "description": "全站" + }, + { + "type": "number", + "const": 1, + "description": "动画" + }, + { + "type": "number", + "const": 3, + "description": "音乐" + }, + { + "type": "number", + "const": 4, + "description": "游戏" + }, + { + "type": "number", + "const": 5, + "description": "娱乐" + }, + { + "type": "number", + "const": 188, + "description": "科技" + }, + { + "type": "number", + "const": 119, + "description": "鬼畜" + }, + { + "type": "number", + "const": 129, + "description": "舞蹈" + }, + { + "type": "number", + "const": 155, + "description": "时尚" + }, + { + "type": "number", + "const": 160, + "description": "生活" + }, + { + "type": "number", + "const": 168, + "description": "国创相关" + }, + { + "type": "number", + "const": 181, + "description": "影视" + } + ], + "default": 0, + "description": "排行榜分区" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-douban-rank", + "description": "获取豆瓣实时热门榜单，提供当前热门的图书、电影、电视剧、综艺等作品信息，包含评分和热度数据", + "inputSchema": { + "type": "object", + "properties": { + "type": { + "anyOf": [ + { + "type": "string", + "const": "subject", + "description": "图书、电影、电视剧、综艺等" + }, + { + "type": "string", + "const": "movie", + "description": "电影" + }, + { + "type": "string", + "const": "tv", + "description": "电视剧" + } + ], + "default": "subject" + }, + "start": { + "type": "integer", + "default": 0 + }, + "count": { + "type": "integer", + "default": 10 + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-douyin-trending", + "description": "获取抖音热搜榜单，展示当下最热门的社会话题、娱乐事件、网络热点和流行趋势", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-gcores-new", + "description": "获取机核网游戏相关资讯，包含电子游戏评测、玩家文化、游戏开发和游戏周边产品的深度内容", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-ifanr-news", + "description": "获取爱范儿科技快讯，包含最新的科技产品、数码设备、互联网动态等前沿科技资讯", + "inputSchema": { + "type": "object", + "properties": { + "limit": { + "type": "integer", + "default": 20 + }, + "offset": { + "type": "integer", + "default": 0 + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-infoq-news", + "description": "获取 InfoQ 技术资讯，包含软件开发、架构设计、云计算、AI等企业级技术内容和前沿开发者动态", + "inputSchema": { + "type": "object", + "properties": { + "region": { + "type": "string", + "enum": [ + "cn", + "global" + ], + "default": "cn" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-juejin-article-rank", + "description": "获取掘金文章榜，包含前端开发、后端技术、人工智能、移动开发及技术架构等领域的高质量中文技术文章和教程", + "inputSchema": { + "type": "object", + "properties": { + "category_id": { + "anyOf": [ + { + "type": "string", + "const": "6809637769959178254", + "description": "后端" + }, + { + "type": "string", + "const": "6809637767543259144", + "description": "前端" + }, + { + "type": "string", + "const": "6809635626879549454", + "description": "Android" + }, + { + "type": "string", + "const": "6809635626661445640", + "description": "iOS" + }, + { + "type": "string", + "const": "6809637773935378440", + "description": "人工智能" + }, + { + "type": "string", + "const": "6809637771511070734", + "description": "开发工具" + }, + { + "type": "string", + "const": "6809637776263217160", + "description": "代码人生" + }, + { + "type": "string", + "const": "6809637772874219534", + "description": "阅读" + } + ], + "default": "6809637769959178254" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-netease-news-trending", + "description": "获取网易新闻热点榜，包含时政要闻、社会事件、财经资讯、科技动态及娱乐体育的全方位中文新闻资讯", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-nytimes-news", + "description": "获取纽约时报新闻，包含国际政治、经济金融、社会文化、科学技术及艺术评论的高质量英文或中文国际新闻资讯", + "inputSchema": { + "type": "object", + "properties": { + "region": { + "anyOf": [ + { + "type": "string", + "const": "cn", + "description": "中文" + }, + { + "type": "string", + "const": "global", + "description": "全球" + } + ], + "default": "cn" + }, + "section": { + "type": "string", + "default": "HomePage", + "description": "分类，当 `region` 为 `cn` 时无效。可选值: Africa, Americas, ArtandDesign, Arts, AsiaPacific, Automobiles, Baseball, Books/Review, Business, Climate, CollegeBasketball, CollegeFootball, Dance, Dealbook, DiningandWine, Economy, Education, EnergyEnvironment, Europe, FashionandStyle, Golf, Health, Hockey, HomePage, Jobs, Lens, MediaandAdvertising, MiddleEast, MostEmailed, MostShared, MostViewed, Movies, Music, NYRegion, Obituaries, PersonalTech, Politics, ProBasketball, ProFootball, RealEstate, Science, SmallBusiness, Soccer, Space, Sports, SundayBookReview, Sunday-Review, Technology, Television, Tennis, Theater, TMagazine, Travel, Upshot, US, Weddings, Well, World, YourMoney" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-smzdm-rank", + "description": "获取什么值得买热门，包含商品推荐、优惠信息、购物攻略、产品评测及消费经验分享的实用中文消费类资讯", + "inputSchema": { + "type": "object", + "properties": { + "unit": { + "anyOf": [ + { + "type": "number", + "const": 1, + "description": "今日热门" + }, + { + "type": "number", + "const": 7, + "description": "周热门" + }, + { + "type": "number", + "const": 30, + "description": "月热门" + } + ], + "default": 1 + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-sspai-rank", + "description": "获取少数派热榜，包含数码产品评测、软件应用推荐、生活方式指南及效率工作技巧的优质中文科技生活类内容", + "inputSchema": { + "type": "object", + "properties": { + "tag": { + "type": "string", + "enum": [ + "热门文章", + "应用推荐", + "生活方式", + "效率技巧", + "少数派播客" + ], + "default": "热门文章", + "description": "分类" + }, + "limit": { + "type": "integer", + "default": 40 + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-tencent-news-trending", + "description": "获取腾讯新闻热点榜，包含国内外时事、社会热点、财经资讯、娱乐动态及体育赛事的综合性中文新闻资讯", + "inputSchema": { + "type": "object", + "properties": { + "page_size": { + "type": "integer", + "default": 20 + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-thepaper-trending", + "description": "获取澎湃新闻热榜，包含时政要闻、财经动态、社会事件、文化教育及深度报道的高质量中文新闻资讯", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-theverge-news", + "description": "获取 The Verge 新闻，包含科技创新、数码产品评测、互联网趋势及科技公司动态的英文科技资讯", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-toutiao-trending", + "description": "获取今日头条热榜，包含时政要闻、社会事件、国际新闻、科技发展及娱乐八卦等多领域的热门中文资讯", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-weibo-trending", + "description": "获取微博热搜榜，包含时事热点、社会现象、娱乐新闻、明星动态及网络热议话题的实时热门中文资讯", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-weread-rank", + "description": "获取微信读书排行榜，包含热门小说、畅销书籍、新书推荐及各类文学作品的阅读数据和排名信息", + "inputSchema": { + "type": "object", + "properties": { + "category": { + "anyOf": [ + { + "type": "string", + "const": "rising", + "description": "飙升榜" + }, + { + "type": "string", + "const": "hot_search", + "description": "热搜榜" + }, + { + "type": "string", + "const": "newbook", + "description": "新书榜" + }, + { + "type": "string", + "const": "general_novel_rising", + "description": "小说榜" + }, + { + "type": "string", + "const": "all", + "description": "总榜" + } + ], + "default": "rising", + "description": "排行榜分区" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-zhihu-trending", + "description": "获取知乎热榜，包含时事热点、社会话题、科技动态、娱乐八卦等多领域的热门问答和讨论的中文资讯", + "inputSchema": { + "type": "object", + "properties": { + "limit": { + "type": "number", + "default": 50 + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "OpenStreetMap (OSM) MCP Server", + "description": "An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.", + "web": "https://github.com/jagan-shanmugam/open-streetmap-mcp", + "config": { + "mcpServers": { + "osm-mcp-server": { + "command": "uvx", + "args": [ + "osm-mcp-server" + ] + } + } + }, + "category": "Location", + "tools": { + "osm-mcp-server": { + "server_name": "osm-mcp-server", + "version": "0.1.0", + "tools": [ + { + "name": "geocode_address", + "description": "\nConvert an address or place name to geographic coordinates with detailed location information.\n\nThis tool takes a text description of a location (such as an address, landmark name, or\nplace of interest) and returns its precise geographic coordinates along with rich metadata.\nThe results can be used for mapping, navigation, location-based analysis, and as input to\nother geospatial tools.\n\nArgs:\n address: The address, place name, landmark, or description to geocode (e.g., \"Empire State Building\", \n \"123 Main St, Springfield\", \"Golden Gate Park, San Francisco\")\n \nReturns:\n List of matching locations with:\n - Geographic coordinates (latitude/longitude)\n - Formatted address\n - Administrative boundaries (city, state, country)\n - OSM type and ID\n - Bounding box (if applicable)\n - Importance ranking\n", + "inputSchema": { + "properties": { + "address": { + "title": "Address", + "type": "string" + } + }, + "required": [ + "address" + ], + "title": "geocode_addressArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "items": { + "additionalProperties": true, + "type": "object" + }, + "title": "Result", + "type": "array" + } + }, + "required": [ + "result" + ], + "title": "geocode_addressOutput", + "type": "object" + } + }, + { + "name": "reverse_geocode", + "description": "\nConvert geographic coordinates to a detailed address and location description.\n\nThis tool takes a specific point on Earth (latitude and longitude) and returns \ncomprehensive information about that location, including its address, nearby landmarks,\nadministrative boundaries, and other contextual information. Useful for translating\nGPS coordinates into human-readable locations.\n\nArgs:\n latitude: The latitude coordinate (decimal degrees, WGS84)\n longitude: The longitude coordinate (decimal degrees, WGS84)\n \nReturns:\n Detailed address and location information including:\n - Formatted address\n - Building, street, city, state, country\n - Administrative hierarchy\n - OSM metadata\n - Postal code and other relevant identifiers\n", + "inputSchema": { + "properties": { + "latitude": { + "title": "Latitude", + "type": "number" + }, + "longitude": { + "title": "Longitude", + "type": "number" + } + }, + "required": [ + "latitude", + "longitude" + ], + "title": "reverse_geocodeArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "reverse_geocodeOutput", + "type": "object" + } + }, + { + "name": "find_nearby_places", + "description": "\nDiscover points of interest and amenities near a specific location.\n\nThis tool performs a comprehensive search around a geographic point to identify\nnearby establishments, amenities, and points of interest. Results are organized by\ncategory and subcategory, making it easy to find specific types of places. Essential\nfor location-based recommendations, neighborhood analysis, and proximity-based decision making.\n\nArgs:\n latitude: Center point latitude (decimal degrees)\n longitude: Center point longitude (decimal degrees)\n radius: Search radius in meters (defaults to 1000m/1km)\n categories: List of OSM categories to search for (e.g., [\"amenity\", \"shop\", \"tourism\"]).\n If omitted, searches common categories.\n limit: Maximum number of total results to return\n \nReturns:\n Structured dictionary containing:\n - Original query parameters\n - Total count of places found\n - Results grouped by category and subcategory\n - Each place includes name, coordinates, and associated tags\n", + "inputSchema": { + "properties": { + "latitude": { + "title": "Latitude", + "type": "number" + }, + "longitude": { + "title": "Longitude", + "type": "number" + }, + "radius": { + "default": 1000, + "title": "Radius", + "type": "number" + }, + "categories": { + "default": null, + "items": { + "type": "string" + }, + "title": "Categories", + "type": "array" + }, + "limit": { + "default": 20, + "title": "Limit", + "type": "integer" + } + }, + "required": [ + "latitude", + "longitude" + ], + "title": "find_nearby_placesArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "find_nearby_placesOutput", + "type": "object" + } + }, + { + "name": "get_route_directions", + "description": "\nCalculate detailed route directions between two geographic points.\n\nThis tool provides comprehensive turn-by-turn navigation directions between any two locations\non Earth. It calculates the optimal route based on the specified transportation mode and\nreturns detailed information about distance, duration, maneuvers, and the route geometry.\nPerfect for trip planning, navigation assistance, and commute analysis.\n\nArgs:\n from_latitude: Starting point latitude (decimal degrees)\n from_longitude: Starting point longitude (decimal degrees)\n to_latitude: Destination latitude (decimal degrees)\n to_longitude: Destination longitude (decimal degrees)\n mode: Transportation mode - options include:\n - \"car\" (default): Standard automobile routing\n - \"bike\": Bicycle-friendly routes\n - \"foot\": Pedestrian walking paths\n \nReturns:\n Comprehensive routing information including:\n - Summary with total distance (meters) and duration (seconds)\n - Turn-by-turn directions with individual segments\n - Route geometry for mapping visualization\n - Waypoint information\n", + "inputSchema": { + "properties": { + "from_latitude": { + "title": "From Latitude", + "type": "number" + }, + "from_longitude": { + "title": "From Longitude", + "type": "number" + }, + "to_latitude": { + "title": "To Latitude", + "type": "number" + }, + "to_longitude": { + "title": "To Longitude", + "type": "number" + }, + "mode": { + "default": "car", + "title": "Mode", + "type": "string" + } + }, + "required": [ + "from_latitude", + "from_longitude", + "to_latitude", + "to_longitude" + ], + "title": "get_route_directionsArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "get_route_directionsOutput", + "type": "object" + } + }, + { + "name": "search_category", + "description": "\nSearch for specific types of places within a defined geographic area.\n\nThis tool allows targeted searches for places matching specific categories within\na rectangular geographic region. It's particularly useful for filtering places by type\n(restaurants, schools, parks, etc.) within a neighborhood or city district. Results include\ncomplete location details and metadata about each matching place.\n\nArgs:\n category: Main OSM category to search for (e.g., \"amenity\", \"shop\", \"tourism\", \"building\")\n min_latitude: Southern boundary of search area (decimal degrees)\n min_longitude: Western boundary of search area (decimal degrees)\n max_latitude: Northern boundary of search area (decimal degrees)\n max_longitude: Eastern boundary of search area (decimal degrees)\n subcategories: Optional list of specific subcategories to filter by (e.g., [\"restaurant\", \"cafe\"])\n \nReturns:\n Structured results including:\n - Query parameters\n - Count of matching places\n - List of matching places with coordinates, names, and metadata\n", + "inputSchema": { + "properties": { + "category": { + "title": "Category", + "type": "string" + }, + "min_latitude": { + "title": "Min Latitude", + "type": "number" + }, + "min_longitude": { + "title": "Min Longitude", + "type": "number" + }, + "max_latitude": { + "title": "Max Latitude", + "type": "number" + }, + "max_longitude": { + "title": "Max Longitude", + "type": "number" + }, + "subcategories": { + "default": null, + "items": { + "type": "string" + }, + "title": "Subcategories", + "type": "array" + } + }, + "required": [ + "category", + "min_latitude", + "min_longitude", + "max_latitude", + "max_longitude" + ], + "title": "search_categoryArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "search_categoryOutput", + "type": "object" + } + }, + { + "name": "suggest_meeting_point", + "description": "\nFind the optimal meeting place for multiple people coming from different locations.\n\nThis tool calculates a central meeting point based on the locations of multiple individuals,\nthen recommends suitable venues near that central point. Ideal for planning social gatherings,\nbusiness meetings, or any situation where multiple people need to converge from different\nstarting points.\n\nArgs:\n locations: List of dictionaries, each containing the latitude and longitude of a person's location\n Example: [{\"latitude\": 37.7749, \"longitude\": -122.4194}, {\"latitude\": 37.3352, \"longitude\": -121.8811}]\n venue_type: Type of venue to suggest as a meeting point. Options include:\n \"cafe\", \"restaurant\", \"bar\", \"library\", \"park\", etc.\n \nReturns:\n Meeting point recommendations including:\n - Calculated center point coordinates\n - List of suggested venues with names and details\n - Total number of matching venues in the area\n", + "inputSchema": { + "properties": { + "locations": { + "items": { + "additionalProperties": { + "type": "number" + }, + "type": "object" + }, + "title": "Locations", + "type": "array" + }, + "venue_type": { + "default": "cafe", + "title": "Venue Type", + "type": "string" + } + }, + "required": [ + "locations" + ], + "title": "suggest_meeting_pointArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "suggest_meeting_pointOutput", + "type": "object" + } + }, + { + "name": "explore_area", + "description": "\nGenerate a comprehensive profile of an area including all amenities and features.\n\nThis powerful analysis tool creates a detailed overview of a neighborhood or area by\nidentifying and categorizing all geographic features, amenities, and points of interest.\nResults are organized by category for easy analysis. Excellent for neighborhood research,\narea comparisons, and location-based decision making.\n\nArgs:\n latitude: Center point latitude (decimal degrees)\n longitude: Center point longitude (decimal degrees)\n radius: Search radius in meters (defaults to 500m)\n \nReturns:\n In-depth area profile including:\n - Address and location context\n - Total feature count\n - Features organized by category and subcategory\n - Each feature includes name, coordinates, and detailed metadata\n", + "inputSchema": { + "properties": { + "latitude": { + "title": "Latitude", + "type": "number" + }, + "longitude": { + "title": "Longitude", + "type": "number" + }, + "radius": { + "default": 500, + "title": "Radius", + "type": "number" + } + }, + "required": [ + "latitude", + "longitude" + ], + "title": "explore_areaArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "explore_areaOutput", + "type": "object" + } + }, + { + "name": "find_schools_nearby", + "description": "\nLocate educational institutions near a specific location, filtered by education level.\n\nThis specialized search tool identifies schools, colleges, and other educational institutions\nwithin a specified distance from a location. Results can be filtered by education level\n(elementary, middle, high school, university, etc.). Essential for families evaluating\nneighborhoods or real estate purchases with education considerations.\n\nArgs:\n latitude: Center point latitude (decimal degrees)\n longitude: Center point longitude (decimal degrees)\n radius: Search radius in meters (defaults to 2000m/2km)\n education_levels: Optional list of specific education levels to filter by\n (e.g., [\"elementary\", \"secondary\", \"university\"])\n \nReturns:\n List of educational institutions with:\n - Name and type\n - Distance from search point\n - Education levels offered\n - Contact information if available\n - Other relevant metadata\n", + "inputSchema": { + "properties": { + "latitude": { + "title": "Latitude", + "type": "number" + }, + "longitude": { + "title": "Longitude", + "type": "number" + }, + "radius": { + "default": 2000, + "title": "Radius", + "type": "number" + }, + "education_levels": { + "default": null, + "items": { + "type": "string" + }, + "title": "Education Levels", + "type": "array" + } + }, + "required": [ + "latitude", + "longitude" + ], + "title": "find_schools_nearbyArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "find_schools_nearbyOutput", + "type": "object" + } + }, + { + "name": "analyze_commute", + "description": "\nPerform a detailed commute analysis between home and work locations.\n\nThis advanced tool analyzes commute options between two locations (typically home and work),\ncomparing multiple transportation modes and providing detailed metrics for each option.\nIncludes estimated travel times, distances, turn-by-turn directions, and other commute-relevant\ndata. Essential for real estate decisions, lifestyle planning, and workplace relocation analysis.\n\nArgs:\n home_latitude: Home location latitude (decimal degrees)\n home_longitude: Home location longitude (decimal degrees)\n work_latitude: Workplace location latitude (decimal degrees)\n work_longitude: Workplace location longitude (decimal degrees)\n modes: List of transportation modes to analyze (options: \"car\", \"foot\", \"bike\")\n depart_at: Optional departure time (format: \"HH:MM\") for time-sensitive routing\n \nReturns:\n Comprehensive commute analysis with:\n - Summary comparing all transportation modes\n - Detailed route information for each mode\n - Total distance and duration for each option\n - Turn-by-turn directions\n", + "inputSchema": { + "properties": { + "home_latitude": { + "title": "Home Latitude", + "type": "number" + }, + "home_longitude": { + "title": "Home Longitude", + "type": "number" + }, + "work_latitude": { + "title": "Work Latitude", + "type": "number" + }, + "work_longitude": { + "title": "Work Longitude", + "type": "number" + }, + "modes": { + "default": [ + "car", + "foot", + "bike" + ], + "items": { + "type": "string" + }, + "title": "Modes", + "type": "array" + }, + "depart_at": { + "default": null, + "title": "Depart At", + "type": "string" + } + }, + "required": [ + "home_latitude", + "home_longitude", + "work_latitude", + "work_longitude" + ], + "title": "analyze_commuteArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "analyze_commuteOutput", + "type": "object" + } + }, + { + "name": "find_ev_charging_stations", + "description": "\nLocate electric vehicle charging stations near a specific location.\n\nThis specialized search tool identifies EV charging infrastructure within a specified\ndistance from a location. Results can be filtered by connector type (Tesla, CCS, CHAdeMO, etc.)\nand minimum power delivery. Essential for EV owners planning trips or evaluating potential\ncharging stops.\n\nArgs:\n latitude: Center point latitude (decimal degrees)\n longitude: Center point longitude (decimal degrees)\n radius: Search radius in meters (defaults to 5000m/5km)\n connector_types: Optional list of specific connector types to filter by\n (e.g., [\"type2\", \"ccs\", \"tesla\"])\n min_power: Minimum charging power in kW\n \nReturns:\n List of charging stations with:\n - Location name and operator\n - Available connector types\n - Charging speeds\n - Number of charging points\n - Access restrictions\n - Other relevant metadata\n", + "inputSchema": { + "properties": { + "latitude": { + "title": "Latitude", + "type": "number" + }, + "longitude": { + "title": "Longitude", + "type": "number" + }, + "radius": { + "default": 5000, + "title": "Radius", + "type": "number" + }, + "connector_types": { + "default": null, + "items": { + "type": "string" + }, + "title": "Connector Types", + "type": "array" + }, + "min_power": { + "default": null, + "title": "Min Power", + "type": "number" + } + }, + "required": [ + "latitude", + "longitude" + ], + "title": "find_ev_charging_stationsArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "find_ev_charging_stationsOutput", + "type": "object" + } + }, + { + "name": "analyze_neighborhood", + "description": "\nGenerate a comprehensive neighborhood analysis focused on livability factors.\n\nThis advanced analysis tool evaluates a neighborhood based on multiple livability factors,\nincluding amenities, transportation options, green spaces, and services. Results include\ncounts and proximity scores for various categories, helping to assess the overall quality\nand convenience of a residential area. Invaluable for real estate decisions, relocation\nplanning, and neighborhood comparisons.\n\nArgs:\n latitude: Center point latitude (decimal degrees)\n longitude: Center point longitude (decimal degrees)\n radius: Analysis radius in meters (defaults to 1000m/1km)\n \nReturns:\n Comprehensive neighborhood profile including:\n - Overall neighborhood score\n - Walkability assessment\n - Public transportation access\n - Nearby amenities (shops, restaurants, services)\n - Green spaces and recreation\n - Education and healthcare facilities\n - Detailed counts and distance metrics for each category\n", + "inputSchema": { + "properties": { + "latitude": { + "title": "Latitude", + "type": "number" + }, + "longitude": { + "title": "Longitude", + "type": "number" + }, + "radius": { + "default": 1000, + "title": "Radius", + "type": "number" + } + }, + "required": [ + "latitude", + "longitude" + ], + "title": "analyze_neighborhoodArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "analyze_neighborhoodOutput", + "type": "object" + } + }, + { + "name": "find_parking_facilities", + "description": "\nLocate parking facilities near a specific location.\n\nThis tool finds parking options (lots, garages, street parking) near a specified location.\nResults can be filtered by parking type and include capacity information where available.\nUseful for trip planning, city navigation, and evaluating parking availability in urban areas.\n\nArgs:\n latitude: Center point latitude (decimal degrees)\n longitude: Center point longitude (decimal degrees)\n radius: Search radius in meters (defaults to 1000m/1km)\n parking_type: Optional filter for specific types of parking facilities\n (\"surface\", \"underground\", \"multi-storey\", etc.)\n \nReturns:\n List of parking facilities with:\n - Name and type\n - Capacity information if available\n - Fee structure if available\n - Access restrictions\n - Distance from search point\n", + "inputSchema": { + "properties": { + "latitude": { + "title": "Latitude", + "type": "number" + }, + "longitude": { + "title": "Longitude", + "type": "number" + }, + "radius": { + "default": 1000, + "title": "Radius", + "type": "number" + }, + "parking_type": { + "default": null, + "title": "Parking Type", + "type": "string" + } + }, + "required": [ + "latitude", + "longitude" + ], + "title": "find_parking_facilitiesArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "find_parking_facilitiesOutput", + "type": "object" + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Sequential Thinking MCP Server", + "organization": "modelcontextprotocol", + "description": "An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.", + "web": "https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking", + "config": { + "mcpServers": { + "sequential-thinking": { + "command": "npx", + "args": [ + "-y", + "@modelcontextprotocol/server-sequential-thinking" + ] + } + } + }, + "category": "Miscellaneous", + "tools": { + "sequential-thinking": { + "server_name": "sequential-thinking", + "version": "0.1.0", + "tools": [ + { + "name": "sequentialthinking", + "description": "A detailed tool for dynamic and reflective problem-solving through thoughts.\nThis tool helps analyze problems through a flexible thinking process that can adapt and evolve.\nEach thought can build on, question, or revise previous insights as understanding deepens.\n\nWhen to use this tool:\n- Breaking down complex problems into steps\n- Planning and design with room for revision\n- Analysis that might need course correction\n- Problems where the full scope might not be clear initially\n- Problems that require a multi-step solution\n- Tasks that need to maintain context over multiple steps\n- Situations where irrelevant information needs to be filtered out\n\nKey features:\n- You can adjust total_thoughts up or down as you progress\n- You can question or revise previous thoughts\n- You can add more thoughts even after reaching what seemed like the end\n- You can express uncertainty and explore alternative approaches\n- Not every thought needs to build linearly - you can branch or backtrack\n- Generates a solution hypothesis\n- Verifies the hypothesis based on the Chain of Thought steps\n- Repeats the process until satisfied\n- Provides a correct answer\n\nParameters explained:\n- thought: Your current thinking step, which can include:\n* Regular analytical steps\n* Revisions of previous thoughts\n* Questions about previous decisions\n* Realizations about needing more analysis\n* Changes in approach\n* Hypothesis generation\n* Hypothesis verification\n- next_thought_needed: True if you need more thinking, even if at what seemed like the end\n- thought_number: Current number in sequence (can go beyond initial total if needed)\n- total_thoughts: Current estimate of thoughts needed (can be adjusted up/down)\n- is_revision: A boolean indicating if this thought revises previous thinking\n- revises_thought: If is_revision is true, which thought number is being reconsidered\n- branch_from_thought: If branching, which thought number is the branching point\n- branch_id: Identifier for the current branch (if any)\n- needs_more_thoughts: If reaching end but realizing more thoughts needed\n\nYou should:\n1. Start with an initial estimate of needed thoughts, but be ready to adjust\n2. Feel free to question or revise previous thoughts\n3. Don't hesitate to add more thoughts if needed, even at the \"end\"\n4. Express uncertainty when present\n5. Mark thoughts that revise previous thinking or branch into new paths\n6. Ignore information that is irrelevant to the current step\n7. Generate a solution hypothesis when appropriate\n8. Verify the hypothesis based on the Chain of Thought steps\n9. Repeat the process until satisfied with the solution\n10. Provide a single, ideally correct answer as the final output\n11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached", + "inputSchema": { + "type": "object", + "properties": { + "thought": { + "type": "string", + "description": "Your current thinking step" + }, + "nextThoughtNeeded": { + "type": "boolean", + "description": "Whether another thought step is needed" + }, + "thoughtNumber": { + "type": "integer", + "description": "Current thought number", + "minimum": 1 + }, + "totalThoughts": { + "type": "integer", + "description": "Estimated total thoughts needed", + "minimum": 1 + }, + "isRevision": { + "type": "boolean", + "description": "Whether this revises previous thinking" + }, + "revisesThought": { + "type": "integer", + "description": "Which thought is being reconsidered", + "minimum": 1 + }, + "branchFromThought": { + "type": "integer", + "description": "Branching point thought number", + "minimum": 1 + }, + "branchId": { + "type": "string", + "description": "Branch identifier" + }, + "needsMoreThoughts": { + "type": "boolean", + "description": "If more thoughts are needed" + } + }, + "required": [ + "thought", + "nextThoughtNeeded", + "thoughtNumber", + "totalThoughts" + ] + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Bazi MCP (八字 MCP) by Cantian AI", + "organization": "cantian-ai", + "description": "Unlock precise Bazi insights with the Bazi MCP, the first AI-powered Bazi calculator. Built to address inaccuracies in existing AI fortune-telling tools like GPT and DeepSeek, our MCP delivers reliable Bazi data for personality analysis, destiny forecasting, and more.", + "web": "https://github.com/cantian-ai/bazi-mcp", + "config": { + "mcpServers": { + "Bazi": { + "command": "npx", + "args": [ + "bazi-mcp" + ] + } + } + }, + "category": "Entertainment", + "tools": { + "Bazi": { + "server_name": "Bazi", + "version": "0.1.0", + "tools": [ + { + "name": "getBaziDetail", + "description": "根据时间（公历或农历）、性别来获取八字信息。solarDatetime和lunarDatetime必须传且只传其中一个。", + "inputSchema": { + "type": "object", + "properties": { + "solarDatetime": { + "type": "string", + "description": "用ISO时间格式表示的公历时间. 例如：`2008-03-01T13:00:00+08:00`。" + }, + "lunarDatetime": { + "type": "string", + "description": "农历时间。例如农历2000年5月初五中午12点整表示为：`2000-5-5 12:00:00`。" + }, + "gender": { + "type": "number", + "description": "传0表示女性，传1表示男性。" + }, + "eightCharProviderSect": { + "type": "number", + "default": 2, + "description": "早晚子时配置。传1表示23:00-23:59日干支为明天，传2表示23:00-23:59日干支为当天。" + } + }, + "required": [ + "gender" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "getSolarTimes", + "description": "根据八字获取公历时间列表。返回的时间格式为：YYYY-MM-DD hh:mm:ss。例如时间1998年7月31日下午2点整表示为：1998-07-31 14:00:00", + "inputSchema": { + "type": "object", + "properties": { + "bazi": { + "type": "string", + "description": "八字，按年柱、月柱、日柱、时柱顺序，用空格隔开。例如：戊寅 己未 己卯 辛未" + } + }, + "required": [ + "bazi" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "getChineseCalendar", + "description": "获取指定公历时间（默认今天）的黄历信息。", + "inputSchema": { + "type": "object", + "properties": { + "solarDatetime": { + "type": "string", + "description": "用ISO时间格式表示的公历时间. 例如：`2008-03-01T13:00:00+08:00`。" + } + }, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "buildBaziFromLunarDatetime", + "description": "根据农历时间、性别来获取八字信息。", + "inputSchema": { + "type": "object", + "properties": { + "lunarDatetime": { + "type": "string", + "description": "农历时间。例如：`2000-5-15 12:00:00`。" + }, + "gender": { + "type": "number", + "description": "传0表示女性，传1表示男性。" + }, + "eightCharProviderSect": { + "type": "number", + "default": 2, + "description": "早晚子时配置。传1表示23:00-23:59日干支为明天，传2表示23:00-23:59日干支为当天。" + } + }, + "required": [ + "lunarDatetime", + "gender" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "buildBaziFromSolarDatetime", + "description": "根据阳历时间、性别来获取八字信息。", + "inputSchema": { + "type": "object", + "properties": { + "solarDatetime": { + "type": "string", + "description": "用ISO时间格式表示的阳历时间. 例如：`2008-03-01T13:00:00+08:00`。" + }, + "gender": { + "type": "number", + "description": "传0表示女性，传1表示男性。" + }, + "eightCharProviderSect": { + "type": "number", + "default": 2, + "description": "早晚子时配置。传1表示23:00-23:59日干支为明天，传2表示23:00-23:59日干支为当天。" + } + }, + "required": [ + "solarDatetime", + "gender" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Maven Dependencies MCP Server", + "description": "An MCP (Model Context Protocol) server that provides tools for checking Maven dependency versions. This server enables LLMs to verify Maven dependencies and retrieve their latest versions from Maven Central Repository.", + "web": "https://github.com/Bigsy/maven-mcp-server", + "config": { + "mcpServers": { + "maven-deps-server": { + "command": "npx", + "args": [ + "mcp-maven-deps" + ] + } + } + }, + "category": "Code", + "tools": { + "maven-deps-server": { + "server_name": "maven-deps-server", + "version": "0.1.0", + "tools": [ + { + "name": "get_latest_release", + "description": "Get the latest release version of a Maven dependency (excludes pre-releases by default)", + "inputSchema": { + "type": "object", + "properties": { + "dependency": { + "type": "string", + "description": "Maven coordinate in format \"groupId:artifactId[:version][:packaging][:classifier]\" (e.g. \"org.springframework:spring-core\" or \"org.springframework:spring-core:5.3.20:jar\")" + }, + "excludePreReleases": { + "type": "boolean", + "description": "Whether to exclude pre-release versions (alpha, beta, milestone, RC, snapshot). Default: true", + "default": true + } + }, + "required": [ + "dependency" + ] + }, + "annotations": null + }, + { + "name": "check_maven_version_exists", + "description": "Check if a specific version of a Maven dependency exists", + "inputSchema": { + "type": "object", + "properties": { + "dependency": { + "type": "string", + "description": "Maven coordinate in format \"groupId:artifactId[:version][:packaging][:classifier]\" (e.g. \"org.springframework:spring-core\" or \"org.springframework:spring-core:5.3.20:jar\")" + }, + "version": { + "type": "string", + "description": "Version to check if not included in dependency string" + } + }, + "required": [ + "dependency" + ] + }, + "annotations": null + }, + { + "name": "list_maven_versions", + "description": "List Maven dependency versions sorted by last updated date (most recent first)", + "inputSchema": { + "type": "object", + "properties": { + "dependency": { + "type": "string", + "description": "Maven coordinate in format \"groupId:artifactId[:packaging][:classifier]\" (e.g. \"org.springframework:spring-core\" or \"org.springframework:spring-core:jar\")" + }, + "depth": { + "type": "number", + "description": "Number of versions to return (default: 15)", + "minimum": 1, + "maximum": 100 + }, + "excludePreReleases": { + "type": "boolean", + "description": "Whether to exclude pre-release versions (alpha, beta, milestone, RC, snapshot). Default: true", + "default": true + } + }, + "required": [ + "dependency" + ] + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Met Museum MCP Server", + "description": "A Model Context Protocol (MCP) server that provides access to the Metropolitan Museum of Art Collection through natural language interactions. This server allows AI models to search The Met's art collection and have art works available as a Resource.", + "web": "https://github.com/mikechao/metmuseum-mcp", + "config": { + "mcpServers": { + "met-museum": { + "command": "npx", + "args": [ + "-y", + "metmuseum-mcp" + ] + } + } + }, + "category": "Discovery", + "tools": { + "met-museum": { + "server_name": "met-museum", + "version": "0.1.0", + "tools": [ + { + "name": "list-departments", + "description": "List all departments in the Metropolitan Museum of Art (Met Museum)", + "inputSchema": { + "type": "object", + "properties": {}, + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "search-museum-objects", + "description": "Search for objects in the Metropolitan Museum of Art (Met Museum). Will return Total objects found, followed by a list of Object Ids.The parameter title should be set to true if you want to search for objects by title.The parameter hasImages is false by default, but can be set to true to return objects without images.If the parameter hasImages is true, the parameter title should be false.", + "inputSchema": { + "type": "object", + "properties": { + "q": { + "type": "string", + "description": "The search query, Returns a listing of all Object IDs for objects that contain the search query within the object's data" + }, + "hasImages": { + "type": "boolean", + "default": false, + "description": "Only returns objects that have images" + }, + "title": { + "type": "boolean", + "default": false, + "description": "This should be set to true if you want to search for objects by title" + }, + "departmentId": { + "type": "number", + "description": "Returns objects that are in the specified department. The departmentId should come from the 'list-departments' tool." + } + }, + "required": [ + "q" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "get-museum-object", + "description": "Get a museum object by its ID, from the Metropolitan Museum of Art Collection", + "inputSchema": { + "type": "object", + "properties": { + "objectId": { + "type": "number", + "description": "The ID of the museum object to retrieve" + }, + "returnImage": { + "type": "boolean", + "default": true, + "description": "Whether to return the image (if available) of the object and add it to the server resources" + } + }, + "required": [ + "objectId" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "mcp-github-trending MCP Server", + "organization": "hetaoBackend", + "description": "A MCP server that provides access to GitHub trending repositories and developers data through a simple API interface.", + "web": "https://github.com/hetaoBackend/mcp-github-trending", + "config": { + "mcpServers": { + "mcp-github-trending": { + "command": "uvx", + "args": [ + "mcp-github-trending" + ] + } + } + }, + "category": "Code", + "tools": { + "mcp-github-trending": { + "server_name": "mcp-github-trending", + "version": "0.1.0", + "tools": [ + { + "name": "get_github_trending_repositories", + "description": "Get trending repositories on github", + "inputSchema": { + "type": "object", + "properties": { + "language": { + "type": "string", + "description": "Language to filter repositories by" + }, + "since": { + "type": "string", + "description": "Time period to filter repositories by", + "enum": [ + "daily", + "weekly", + "monthly" + ] + }, + "spoken_language": { + "type": "string", + "description": "Spoken language to filter repositories by" + } + } + }, + "annotations": null + }, + { + "name": "get_github_trending_developers", + "description": "Get trending developers on github", + "inputSchema": { + "type": "object", + "properties": { + "language": { + "type": "string", + "description": "Language to filter repositories by" + }, + "since": { + "type": "string", + "description": "Time period to filter repositories by", + "enum": [ + "daily", + "weekly", + "monthly" + ] + }, + "spoken_language": { + "type": "string", + "description": "Spoken language to filter repositories by" + } + } + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Simple Document Processing MCP Server", + "organization": "cablate", + "description": "A powerful Model Context Protocol (MCP) server providing comprehensive document processing capabilities.", + "web": "https://github.com/cablate/mcp-doc-forge", + "config": { + "mcpServers": { + "searxng": { + "command": "npx", + "args": [ + "-y", + "@cablate/mcp-doc-forge" + ] + } + } + }, + "category": "File Access", + "tools": { + "searxng": { + "server_name": "searxng", + "version": "0.1.0", + "tools": [ + { + "name": "document_reader", + "description": "Read content from non-image document-files at specified paths, supporting various file formats: .pdf, .docx, .txt, .html, .csv", + "inputSchema": { + "type": "object", + "properties": { + "filePath": { + "type": "string", + "description": "Path to the file to be read" + } + }, + "required": [ + "filePath" + ] + }, + "annotations": null + }, + { + "name": "pdf_merger", + "description": "Merge multiple PDF files into one", + "inputSchema": { + "type": "object", + "properties": { + "inputPaths": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Paths to the input PDF files" + }, + "outputDir": { + "type": "string", + "description": "Directory where merged PDFs should be saved" + } + }, + "required": [ + "inputPaths", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "pdf_splitter", + "description": "Split a PDF file into multiple files", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input PDF file" + }, + "outputDir": { + "type": "string", + "description": "Directory where split PDFs should be saved" + }, + "pageRanges": { + "type": "array", + "items": { + "type": "object", + "properties": { + "start": { + "type": "number" + }, + "end": { + "type": "number" + } + } + }, + "description": "Array of page ranges to split" + } + }, + "required": [ + "inputPath", + "outputDir", + "pageRanges" + ] + }, + "annotations": null + }, + { + "name": "docx_to_pdf", + "description": "Convert DOCX files to PDF format", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input DOCX file" + }, + "outputPath": { + "type": "string", + "description": "Path where the output PDF file should be saved" + } + }, + "required": [ + "inputPath", + "outputPath" + ] + }, + "annotations": null + }, + { + "name": "docx_to_html", + "description": "Convert DOCX to HTML while preserving formatting", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input DOCX file" + }, + "outputDir": { + "type": "string", + "description": "Directory where HTML should be saved" + } + }, + "required": [ + "inputPath", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "html_cleaner", + "description": "Clean HTML by removing unnecessary tags and attributes", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input HTML file" + }, + "outputDir": { + "type": "string", + "description": "Directory where cleaned HTML should be saved" + } + }, + "required": [ + "inputPath", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "html_to_text", + "description": "Convert HTML to plain text while preserving structure", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input HTML file" + }, + "outputDir": { + "type": "string", + "description": "Directory where text file should be saved" + } + }, + "required": [ + "inputPath", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "html_to_markdown", + "description": "Convert HTML to Markdown format", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input HTML file" + }, + "outputDir": { + "type": "string", + "description": "Directory where Markdown file should be saved" + } + }, + "required": [ + "inputPath", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "html_extract_resources", + "description": "Extract all resources (images, videos, links) from HTML", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input HTML file" + }, + "outputDir": { + "type": "string", + "description": "Directory where resources should be saved" + } + }, + "required": [ + "inputPath", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "html_formatter", + "description": "Format and beautify HTML code", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input HTML file" + }, + "outputDir": { + "type": "string", + "description": "Directory where formatted HTML should be saved" + } + }, + "required": [ + "inputPath", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "text_diff", + "description": "Compare two text files and show differences", + "inputSchema": { + "type": "object", + "properties": { + "file1Path": { + "type": "string", + "description": "Path to the first text file" + }, + "file2Path": { + "type": "string", + "description": "Path to the second text file" + }, + "outputDir": { + "type": "string", + "description": "Directory where diff result should be saved" + } + }, + "required": [ + "file1Path", + "file2Path", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "text_splitter", + "description": "Split text file by specified delimiter or line count", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input text file" + }, + "outputDir": { + "type": "string", + "description": "Directory where split files should be saved" + }, + "splitBy": { + "type": "string", + "enum": [ + "lines", + "delimiter" + ], + "description": "Split method: by line count or delimiter" + }, + "value": { + "type": "string", + "description": "Line count (number) or delimiter string" + } + }, + "required": [ + "inputPath", + "outputDir", + "splitBy", + "value" + ] + }, + "annotations": null + }, + { + "name": "text_formatter", + "description": "Format text with proper indentation and line spacing", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input text file" + }, + "outputDir": { + "type": "string", + "description": "Directory where formatted file should be saved" + } + }, + "required": [ + "inputPath", + "outputDir" + ] + }, + "annotations": null + }, + { + "name": "text_encoding_converter", + "description": "Convert text between different encodings", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input text file" + }, + "outputDir": { + "type": "string", + "description": "Directory where converted file should be saved" + }, + "fromEncoding": { + "type": "string", + "description": "Source encoding (e.g., 'big5', 'gbk', 'utf8')" + }, + "toEncoding": { + "type": "string", + "description": "Target encoding (e.g., 'utf8', 'big5', 'gbk')" + } + }, + "required": [ + "inputPath", + "outputDir", + "fromEncoding", + "toEncoding" + ] + }, + "annotations": null + }, + { + "name": "excel_read", + "description": "Read Excel file and convert to JSON format while preserving structure", + "inputSchema": { + "type": "object", + "properties": { + "inputPath": { + "type": "string", + "description": "Path to the input Excel file" + }, + "includeHeaders": { + "type": "boolean", + "description": "Whether to include headers in the output", + "default": true + } + }, + "required": [ + "inputPath" + ] + }, + "annotations": null + }, + { + "name": "format_convert", + "description": "Convert between different document formats (Markdown, HTML, XML, JSON)", + "inputSchema": { + "type": "object", + "properties": { + "input": { + "type": "string", + "description": "Input content to convert" + }, + "fromFormat": { + "type": "string", + "enum": [ + "markdown", + "html", + "xml", + "json" + ], + "description": "Source format" + }, + "toFormat": { + "type": "string", + "enum": [ + "markdown", + "html", + "xml", + "json" + ], + "description": "Target format" + } + }, + "required": [ + "input", + "fromFormat", + "toFormat" + ] + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "MCP Server Chart", + "organization": "antvis", + "description": "A Model Context Protocol server for generating charts using AntV.", + "web": "https://github.com/antvis/mcp-server-chart", + "config": { + "mcpServers": { + "mcp-server-chart": { + "command": "npx", + "args": [ + "-y", + "@antv/mcp-server-chart" + ] + } + } + }, + "category": "Visualization", + "tools": { + "mcp-server-chart": { + "server_name": "mcp-server-chart", + "version": "0.1.0", + "tools": [ + { + "name": "generate_area_chart", + "description": "Generate a area chart to show data trends under continuous independent variables and observe the overall data trend, such as, displacement = velocity (average or instantaneous) × time: s = v × t. If the x-axis is time (t) and the y-axis is velocity (v) at each moment, an area chart allows you to observe the trend of velocity over time and infer the distance traveled by the area's size.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "time": { + "type": "string" + }, + "value": { + "type": "number" + }, + "group": { + "type": "string" + } + }, + "required": [ + "time", + "value" + ] + }, + "minItems": 1, + "description": "Data for area chart, such as, [{ time: '2018', value: 99.9 }]." + }, + "stack": { + "type": "boolean", + "default": false, + "description": "Whether stacking is enabled. When enabled, area charts require a 'group' field in the data." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_bar_chart", + "description": "Generate a bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "category": { + "type": "string" + }, + "value": { + "type": "number" + }, + "group": { + "type": "string" + } + }, + "required": [ + "category", + "value" + ] + }, + "minItems": 1, + "description": "Data for bar chart, such as, [{ category: '分类一', value: 10 }]." + }, + "group": { + "type": "boolean", + "default": false, + "description": "Whether grouping is enabled. When enabled, bar charts require a 'group' field in the data. When `group` is true, `stack` should be false." + }, + "stack": { + "type": "boolean", + "default": true, + "description": "Whether stacking is enabled. When enabled, bar charts require a 'group' field in the data. When `stack` is true, `group` should be false." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_boxplot_chart", + "description": "Generate a boxplot chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "category": { + "type": "string", + "description": "Category of the data point, such as '分类一'." + }, + "value": { + "type": "number", + "description": "Value of the data point, such as 10." + }, + "group": { + "type": "string", + "description": "Optional group for the data point, used for grouping in the boxplot." + } + }, + "required": [ + "category", + "value" + ] + }, + "minItems": 1, + "description": "Data for boxplot chart, such as, [{ category: '分类一', value: 10 }] or [{ category: '分类二', value: 20, group: '组别一' }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_column_chart", + "description": "Generate a column chart, which are best for comparing categorical data, such as, when values are close, column charts are preferable because our eyes are better at judging height than other visual elements like area or angles.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "category": { + "type": "string" + }, + "value": { + "type": "number" + }, + "group": { + "type": "string" + } + }, + "required": [ + "category", + "value" + ] + }, + "minItems": 1, + "description": "Data for column chart, such as, [{ category: '北京', value: 825, group: '油车' }]." + }, + "group": { + "type": "boolean", + "default": true, + "description": "Whether grouping is enabled. When enabled, column charts require a 'group' field in the data. When `group` is true, `stack` should be false." + }, + "stack": { + "type": "boolean", + "default": false, + "description": "Whether stacking is enabled. When enabled, column charts require a 'group' field in the data. When `stack` is true, `group` should be false." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_district_map", + "description": "Generates regional distribution maps, which are usually used to show the administrative divisions and coverage of a dataset. It is not suitable for showing the distribution of specific locations, such as urban administrative divisions, GDP distribution maps of provinces and cities across the country, etc. This tool is limited to generating data maps within China.", + "inputSchema": { + "type": "object", + "properties": { + "title": { + "type": "string", + "description": "The map title should not exceed 16 characters. The content should be consistent with the information the map wants to convey and should be accurate, rich, creative, and attractive." + }, + "data": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Keywords for the Chinese name of an administrative region (must be within China), and must be one of China, province, city, district, or county. The name should be more specific and add attributive descriptions, for example, \"西安市\" is better than \"西安\", \"杭州西湖区\" is better than \"西湖区\". It cannot be a specific place name or a vague name, such as \"其它\"." + }, + "style": { + "type": "object", + "properties": { + "fillColor": { + "type": "string", + "description": "Fill color, rgb or rgba format." + } + }, + "description": "Style settings." + }, + "colors": { + "type": "array", + "items": { + "type": "string" + }, + "default": [ + "#1783FF", + "#00C9C9", + "#F0884D", + "#D580FF", + "#7863FF", + "#60C42D", + "#BD8F24", + "#FF80CA", + "#2491B3", + "#17C76F" + ], + "description": "Data color list, in rgb or rgba format." + }, + "dataType": { + "type": "string", + "enum": [ + "number", + "enum" + ], + "description": "The type of the data value, numeric or enumeration type" + }, + "dataLabel": { + "type": "string", + "description": "Data label, such as \"GDP\"" + }, + "dataValue": { + "type": "string", + "description": "Data value, numeric string or enumeration string." + }, + "dataValueUnit": { + "type": "string", + "description": "Data unit, such as \"万亿\"" + }, + "showAllSubdistricts": { + "type": "boolean", + "default": false, + "description": "Whether to display all subdistricts." + }, + "subdistricts": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "$ref": "#/properties/data/properties/name" + }, + "dataValue": { + "type": "string", + "description": "Data value, numeric string or enumeration string." + }, + "style": { + "$ref": "#/properties/data/properties/style" + } + }, + "required": [ + "name" + ] + }, + "description": "Sub-administrative regions are used to display the regional composition or regional distribution of related data." + } + }, + "required": [ + "name" + ], + "description": "Administrative division data, lower-level administrative divisions are optional. There are usually two scenarios: one is to simply display the regional composition, only `fillColor` needs to be configured, and all administrative divisions are consistent, representing that all blocks are connected as one; the other is the regional data distribution scenario, first determine the `dataType`, `dataValueUnit` and `dataLabel` configurations, `dataValue` should be a meaningful value and consistent with the meaning of dataType, and then determine the style configuration. The `fillColor` configuration represents the default fill color for areas without data. Lower-level administrative divisions do not need `fillColor` configuration, and their fill colors are determined by the `colors` configuration (If `dataType` is \"number\", only one base color (warm color) is needed in the list to calculate the continuous data mapping color band; if `dataType` is \"enum\", the number of color values in the list is equal to the number of enumeration values (contrast colors)). If `subdistricts` has a value, `showAllSubdistricts` must be set to true. For example, {\"title\": \"陕西省地级市分布图\", \"data\": {\"name\": \"陕西省\", \"showAllSubdistricts\": true, \"dataLabel\": \"城市\", \"dataType\": \"enum\", \"colors\": [\"#4ECDC4\", \"#A5D8FF\"], \"subdistricts\": [{\"name\": \"西安市\", \"dataValue\": \"省会\"}, {\"name\": \"宝鸡市\", \"dataValue\": \"地级市\"}, {\"name\": \"咸阳市\", \"dataValue\": \"地级市\"}, {\"name\": \"铜川市\", \"dataValue\": \"���级市\"}, {\"name\": \"渭南市\", \"dataValue\": \"地级市\"}, {\"name\": \"延安市\", \"dataValue\": \"地级市\"}, {\"name\": \"榆林市\", \"dataValue\": \"地级市\"}, {\"name\": \"汉中市\", \"dataValue\": \"地级市\"}, {\"name\": \"安康市\", \"dataValue\": \"地级市\"}, {\"name\": \"商洛市\", \"dataValue\": \"地级市\"}]}, \"width\": 1000, \"height\": 1000}." + }, + "width": { + "type": "number", + "default": 1600, + "description": "Set the width of map, default is 1600." + }, + "height": { + "type": "number", + "default": 1000, + "description": "Set the height of map, default is 1000." + } + }, + "required": [ + "title", + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_dual_axes_chart", + "description": "Generate a dual axes chart which is a combination chart that integrates two different chart types, typically combining a bar chart with a line chart to display both the trend and comparison of data, such as, the trend of sales and profit over time.", + "inputSchema": { + "type": "object", + "properties": { + "categories": { + "type": "array", + "items": { + "type": "string" + }, + "minItems": 1, + "description": "Categories for dual axes chart, such as, ['2015', '2016', '2017']." + }, + "series": { + "type": "array", + "items": { + "type": "object", + "properties": { + "type": { + "type": "string", + "enum": [ + "column", + "line" + ], + "description": "The optional value can be 'column' or 'line'." + }, + "data": { + "type": "array", + "items": { + "type": "number" + }, + "description": "When type is column, the data represents quantities, such as [91.9, 99.1, 101.6, 114.4, 121]. When type is line, the data represents ratios and its values are recommended to be less than 1, such as [0.055, 0.06, 0.062, 0.07, 0.075]." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of the chart series, such as, axisYTitle: '销售额'." + } + }, + "required": [ + "type", + "data" + ] + }, + "minItems": 1, + "description": "Series for dual axes chart, such as, [{ type: 'column', data: [91.9, 99.1, 101.6, 114.4, 121], axisYTitle: '销售额' }, { type: 'line', data: [0.055, 0.06, 0.062, 0.07, 0.075], 'axisYTitle': '利润率' }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + } + }, + "required": [ + "categories", + "series" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_fishbone_diagram", + "description": "Generate a fishbone diagram chart to uses a fish skeleton, like structure to display the causes or effects of a core problem, with the problem as the fish head and the causes/effects as the fish bones. It suits problems that can be split into multiple related factors.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "children": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "children": { + "type": "array", + "items": { + "$ref": "#/properties/data/properties/children/items" + } + } + }, + "required": [ + "name" + ] + } + } + }, + "required": [ + "name" + ], + "description": "Data for fishbone diagram chart, such as, { name: 'main topic', children: [{ name: 'topic 1', children: [{ name: 'subtopic 1-1' }] }." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_flow_diagram", + "description": "Generate a flow diagram chart to show the steps and decision points of a process or system, such as, scenarios requiring linear process presentation.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "object", + "properties": { + "nodes": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + } + }, + "required": [ + "name" + ] + }, + "minItems": 1 + }, + "edges": { + "type": "array", + "items": { + "type": "object", + "properties": { + "source": { + "type": "string" + }, + "target": { + "type": "string" + }, + "name": { + "type": "string", + "default": "" + } + }, + "required": [ + "source", + "target" + ] + } + } + }, + "required": [ + "nodes", + "edges" + ], + "description": "Data for flow diagram chart, such as, { nodes: [{ name: 'node1' }, { name: 'node2' }], edges: [{ source: 'node1', target: 'node2', name: 'edge1' }] }." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_funnel_chart", + "description": "Generate a funnel chart to visualize the progressive reduction of data as it passes through stages, such as, the conversion rates of users from visiting a website to completing a purchase.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "category": { + "type": "string" + }, + "value": { + "type": "number" + } + }, + "required": [ + "category", + "value" + ] + }, + "minItems": 1, + "description": "Data for funnel chart, such as, [{ category: '浏览网站', value: 50000 }, { category: '放入购物车', value: 35000 }, { category: '生成订单', value: 25000 }, { category: '支付订单', value: 15000 }, { category: '完成交易', value: 8000 }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_histogram_chart", + "description": "Generate a histogram chart to show the frequency of data points within a certain range. It can observe data distribution, such as, normal and skewed distributions, and identify data concentration areas and extreme points.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "number" + }, + "minItems": 1, + "description": "Data for histogram chart, such as, [78, 88, 60, 100, 95]." + }, + "binNumber": { + "anyOf": [ + { + "type": "number" + }, + { + "not": {} + }, + { + "type": "null" + } + ], + "default": null, + "description": "Number of intervals to define the number of intervals in a histogram." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_line_chart", + "description": "Generate a line chart to show trends over time, such as, the ratio of Apple computer sales to Apple's profits changed from 2000 to 2016.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "time": { + "type": "string" + }, + "value": { + "type": "number" + } + }, + "required": [ + "time", + "value" + ] + }, + "minItems": 1, + "description": "Data for line chart, such as, [{ time: '2015', value: 23 }]." + }, + "stack": { + "type": "boolean", + "default": false, + "description": "Whether stacking is enabled. When enabled, line charts require a 'group' field in the data." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_liquid_chart", + "description": "Generate a liquid chart to visualize a single value as a percentage, such as, the current occupancy rate of a reservoir or the completion percentage of a project.", + "inputSchema": { + "type": "object", + "properties": { + "percent": { + "type": "number", + "minimum": 0, + "maximum": 1, + "description": "The percentage value to display in the liquid chart, should be a number between 0 and 1, where 1 represents 100%. For example, 0.75 represents 75%." + }, + "shape": { + "type": "string", + "enum": [ + "circle", + "rect", + "pin", + "triangle" + ], + "default": "circle", + "description": "The shape of the liquid chart, can be 'circle', 'rect', 'pin', or 'triangle'. Default is 'circle'." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + } + }, + "required": [ + "percent" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_mind_map", + "description": "Generate a mind map chart to organizes and presents information in a hierarchical structure with branches radiating from a central topic, such as, a diagram showing the relationship between a main topic and its subtopics.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "children": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "children": { + "type": "array", + "items": { + "$ref": "#/properties/data/properties/children/items" + } + } + }, + "required": [ + "name" + ] + } + } + }, + "required": [ + "name" + ], + "description": "Data for mind map chart, such as, { name: 'main topic', children: [{ name: 'topic 1', children: [{ name:'subtopic 1-1' }] }." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_network_graph", + "description": "Generate a network graph chart to show relationships (edges) between entities (nodes), such as, relationships between people in social networks.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "object", + "properties": { + "nodes": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + } + }, + "required": [ + "name" + ] + }, + "minItems": 1 + }, + "edges": { + "type": "array", + "items": { + "type": "object", + "properties": { + "source": { + "type": "string" + }, + "target": { + "type": "string" + }, + "name": { + "type": "string", + "default": "" + } + }, + "required": [ + "source", + "target" + ] + } + } + }, + "required": [ + "nodes", + "edges" + ], + "description": "Data for network graph chart, such as, { nodes: [{ name: 'node1' }, { name: 'node2' }], edges: [{ source: 'node1', target: 'node2', name: 'edge1' }] }" + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_organization_chart", + "description": "Generate an organization chart to visualize the hierarchical structure of an organization, such as, a diagram showing the relationship between a CEO and their direct reports.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "description": { + "type": "string" + }, + "children": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "description": { + "type": "string" + }, + "children": { + "type": "array", + "items": { + "$ref": "#/properties/data/properties/children/items" + } + } + }, + "required": [ + "name" + ] + } + } + }, + "required": [ + "name" + ], + "description": "Data for organization chart, such as, { name: 'CEO', description: 'Chief Executive Officer', children: [{ name: 'CTO', description: 'Chief Technology Officer', children: [{ name: 'Dev Manager', description: 'Development Manager' }] }] }." + }, + "orient": { + "type": "string", + "enum": [ + "horizontal", + "vertical" + ], + "default": "vertical", + "description": "Orientation of the organization chart, either horizontal or vertical. Default is vertical, when the level of the chart is more than 3, it is recommended to use horizontal orientation." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_path_map", + "description": "Generate a route map to display the user's planned route, such as travel guide routes.", + "inputSchema": { + "type": "object", + "properties": { + "title": { + "type": "string", + "description": "The map title should not exceed 16 characters. The content should be consistent with the information the map wants to convey and should be accurate, rich, creative, and attractive." + }, + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "string" + }, + "minItems": 1, + "description": "A list of keywords for the names of points of interest (POIs) in Chinese. These POIs usually contain a group of places with similar locations, so the names should be more descriptive, must adding attributives to indicate that they are different places in the same area, such as \"北京市\" is better than \"北京\", \"杭州西湖\" is better than \"西湖\"; in addition, if you can determine that a location may appear in multiple areas, you can be more specific, such as \"杭州西湖的苏堤春晓\" is better than \"苏堤春晓\". The tool will use these keywords to search for specific POIs and query their detailed data, such as latitude and longitude, location photos, etc. For example, [\"西安钟楼\", \"西安大唐不夜城\", \"西安大雁塔\"]." + } + }, + "required": [ + "data" + ], + "description": "The route and places along it." + }, + "minItems": 1, + "description": "Routes, each group represents all POIs along a route. For example, [{ \"data\": [\"西安钟楼\", \"西安大唐不夜城\", \"西安大雁塔\"] }, { \"data\": [\"西安曲江池公园\", \"西安回民街\"] }]" + }, + "width": { + "type": "number", + "default": 1600, + "description": "Set the width of map, default is 1600." + }, + "height": { + "type": "number", + "default": 1000, + "description": "Set the height of map, default is 1000." + } + }, + "required": [ + "title", + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_pie_chart", + "description": "Generate a pie chart to show the proportion of parts, such as, market share and budget allocation.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "category": { + "type": "string" + }, + "value": { + "type": "number" + } + }, + "required": [ + "category", + "value" + ] + }, + "minItems": 1, + "description": "Data for pie chart, such as, [{ category: '分类一', value: 27 }]." + }, + "innerRadius": { + "type": "number", + "default": 0, + "description": "Set the innerRadius of pie chart, the value between 0 and 1. Set the pie chart as a donut chart. Set the value to 0.6 or number in [0 ,1] to enable it." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_pin_map", + "description": "Generate a point map to display the location and distribution of point data on the map, such as the location distribution of attractions, hospitals, supermarkets, etc.", + "inputSchema": { + "type": "object", + "properties": { + "title": { + "type": "string", + "description": "The map title should not exceed 16 characters. The content should be consistent with the information the map wants to convey and should be accurate, rich, creative, and attractive." + }, + "data": { + "type": "array", + "items": { + "type": "string" + }, + "minItems": 1, + "description": "A list of keywords for the names of points of interest (POIs) in Chinese. These POIs usually contain a group of places with similar locations, so the names should be more descriptive, must adding attributives to indicate that they are different places in the same area, such as \"北京市\" is better than \"北京\", \"杭州西湖\" is better than \"西湖\"; in addition, if you can determine that a location may appear in multiple areas, you can be more specific, such as \"杭州西湖的苏堤春晓\" is better than \"苏堤春晓\". The tool will use these keywords to search for specific POIs and query their detailed data, such as latitude and longitude, location photos, etc. For example, [\"西安钟楼\", \"西安大唐不夜城\", \"西安大雁塔\"]." + }, + "markerPopup": { + "type": "object", + "properties": { + "type": { + "type": "string", + "default": "image", + "description": "Must be \"image\"." + }, + "width": { + "type": "number", + "default": 40, + "description": "Width of the photo." + }, + "height": { + "type": "number", + "default": 40, + "description": "Height of the photo." + }, + "borderRadius": { + "type": "number", + "default": 8, + "description": "Border radius of the photo." + } + }, + "description": "Marker type, one is simple mode, which is just an icon and does not require `markerPopup` configuration; the other is image mode, which displays location photos and requires `markerPopup` configuration. Among them, `width`/`height`/`borderRadius` can be combined to realize rectangular photos and square photos. In addition, when `borderRadius` is half of the width and height, it can also be a circular photo." + }, + "width": { + "type": "number", + "default": 1600, + "description": "Set the width of map, default is 1600." + }, + "height": { + "type": "number", + "default": 1000, + "description": "Set the height of map, default is 1000." + } + }, + "required": [ + "title", + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_radar_chart", + "description": "Generate a radar chart to display multidimensional data (four dimensions or more), such as, evaluate Huawei and Apple phones in terms of five dimensions: ease of use, functionality, camera, benchmark scores, and battery life.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "value": { + "type": "number" + }, + "group": { + "type": "string" + } + }, + "required": [ + "name", + "value" + ] + }, + "minItems": 1, + "description": "Data for radar chart, such as, [{ name: 'Design', value: 70 }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_sankey_chart", + "description": "Generate a sankey chart to visualize the flow of data between different stages or categories, such as, the user journey from landing on a page to completing a purchase.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "source": { + "type": "string" + }, + "target": { + "type": "string" + }, + "value": { + "type": "number" + } + }, + "required": [ + "source", + "target", + "value" + ] + }, + "minItems": 1, + "description": "Date for sankey chart, such as, [{ source: 'Landing Page', target: 'Product Page', value: 50000 }, { source: 'Product Page', target: 'Add to Cart', value: 35000 }, { source: 'Add to Cart', target: 'Checkout', value: 25000 }, { source: 'Checkout', target: 'Payment', value: 15000 }, { source: 'Payment', target: 'Purchase Completed', value: 8000 }]." + }, + "nodeAlign": { + "type": "string", + "enum": [ + "left", + "right", + "justify", + "center" + ], + "default": "center", + "description": "Alignment of nodes in the sankey chart, such as, 'left', 'right', 'justify', or 'center'." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_scatter_chart", + "description": "Generate a scatter chart to show the relationship between two variables, helps discover their relationship or trends, such as, the strength of correlation, data distribution patterns.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "x": { + "type": "number" + }, + "y": { + "type": "number" + } + }, + "required": [ + "x", + "y" + ] + }, + "minItems": 1, + "description": "Data for scatter chart, such as, [{ x: 10, y: 15 }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_treemap_chart", + "description": "Generate a treemap chart to display hierarchical data and can intuitively show comparisons between items at the same level, such as, show disk space usage with treemap.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "value": { + "type": "number" + }, + "children": { + "type": "array", + "items": { + "$ref": "#/properties/data/items" + } + } + }, + "required": [ + "name", + "value" + ] + }, + "minItems": 1, + "description": "Data for treemap chart, such as, [{ name: 'Design', value: 70, children: [{ name: 'Tech', value: 20 }] }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_venn_chart", + "description": "Generate a Venn diagram to visualize the relationships between different sets, showing how they intersect and overlap, such as the commonalities and differences between various groups.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "label": { + "type": "string", + "description": "Label for the venn chart segment, such as 'A', 'B', or 'C'." + }, + "value": { + "type": "number", + "description": "Value for the venn chart segment, such as 10, 20, or 30." + }, + "sets": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Array of set names that this segment belongs to, such as ['A', 'B'] for an intersection between sets A and B." + } + }, + "required": [ + "value", + "sets" + ] + }, + "minItems": 1, + "description": "Data for venn chart, such as, [{ label: 'A', value: 10, sets: ['A'] }, { label: 'B', value: 20, sets: ['B'] }, { label: 'C', value: 30, sets: ['C'] }, { label: 'AB', value: 5, sets: ['A', 'B'] }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_violin_chart", + "description": "Generate a violin chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "category": { + "type": "string", + "description": "Category of the data point, such as '分类一'." + }, + "value": { + "type": "number", + "description": "Value of the data point, such as 10." + }, + "group": { + "type": "string", + "description": "Optional group for the data point, used for grouping in the violin chart." + } + }, + "required": [ + "category", + "value" + ] + }, + "minItems": 1, + "description": "Data for violin chart, such as, [{ category: '分类一', value: 10 }] or [{ category: '分类二', value: 20, group: '组别一' }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + }, + "axisXTitle": { + "type": "string", + "default": "", + "description": "Set the x-axis title of chart." + }, + "axisYTitle": { + "type": "string", + "default": "", + "description": "Set the y-axis title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + }, + { + "name": "generate_word_cloud_chart", + "description": "Generate a word cloud chart to show word frequency or weight through text size variation, such as, analyzing common words in social media, reviews, or feedback.", + "inputSchema": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": { + "type": "object", + "properties": { + "text": { + "type": "string" + }, + "value": { + "type": "number" + } + }, + "required": [ + "text", + "value" + ] + }, + "minItems": 1, + "description": "Data for word cloud chart, such as, [{ value: 4.272, text: '形成' }]." + }, + "theme": { + "type": "string", + "enum": [ + "default", + "academy" + ], + "default": "default", + "description": "Set the theme for the chart, optional, default is 'default'." + }, + "width": { + "type": "number", + "default": 600, + "description": "Set the width of chart, default is 600." + }, + "height": { + "type": "number", + "default": 400, + "description": "Set the height of chart, default is 400." + }, + "title": { + "type": "string", + "default": "", + "description": "Set the title of chart." + } + }, + "required": [ + "data" + ], + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "鸣潮 MCP Server", + "description": "一个 Model Context Protocol (MCP) 服务器，用于获取《鸣潮》游戏的角色和声骸信息，并以 Markdown 格式返回，方便大型语言模型使用。", + "web": "https://github.com/jacksmith3888/wuwa-mcp-server", + "config": { + "mcpServers": { + "wuwa-mcp": { + "command": "uvx", + "args": [ + "wuwa-mcp-server" + ] + } + } + }, + "category": "Entertainment", + "tools": { + "wuwa-mcp": { + "server_name": "wuwa-mcp", + "version": "0.1.0", + "tools": [ + { + "name": "get_artifact_info", + "description": "获取库街区上的声骸详细信息并以 Markdown 格式返回。\n\nArgs:\n artifact_name: 要查询的声骸套装的中文名称。\n\nReturns:\n 包含声骸信息的 Markdown 字符串，\n 或者在找不到声骸或获取数据失败时返回错误消息。\n", + "inputSchema": { + "properties": { + "artifact_name": { + "title": "Artifact Name", + "type": "string" + } + }, + "required": [ + "artifact_name" + ], + "title": "get_artifact_infoArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_artifact_infoOutput", + "type": "object" + } + }, + { + "name": "get_character_info", + "description": "获取库街区上的角色详细信息包括角色技能，养成攻略等，并以 Markdown 格式返回。\n\nArgs:\n character_name: 要查询的角色的中文名称。\n\nReturns:\n 包含角色信息的 Markdown 字符串，\n 或者在找不到角色或获取数据失败时返回错误消息。\n", + "inputSchema": { + "properties": { + "character_name": { + "title": "Character Name", + "type": "string" + } + }, + "required": [ + "character_name" + ], + "title": "get_character_infoArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_character_infoOutput", + "type": "object" + } + }, + { + "name": "get_character_profile", + "description": "获取库街区上的角色档案信息并以 Markdown 格式返回。\n\nArgs:\n character_name: 要查询的角色的中文名称。\n\nReturns:\n 包含角色档案信息的 Markdown 字符串，\n 或者在找不到角色或获取数据失败时返回错误消息。\n", + "inputSchema": { + "properties": { + "character_name": { + "title": "Character Name", + "type": "string" + } + }, + "required": [ + "character_name" + ], + "title": "get_character_profileArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_character_profileOutput", + "type": "object" + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Yahoo Finance MCP Server", + "description": "A simple MCP server for Yahoo Finance using yfinance. This server provides a set of tools to fetch stock data, news, and other financial information.", + "web": "https://github.com/narumiruna/yfinance-mcp", + "config": { + "mcpServers": { + "yfmcp": { + "command": "uvx", + "args": [ + "yfmcp@latest" + ] + } + } + }, + "category": "Finance", + "tools": { + "yfmcp": { + "server_name": "yfmcp", + "version": "0.1.0", + "tools": [ + { + "name": "get_ticker_info", + "description": "Retrieve stock data including company info, financials, trading metrics and governance data.", + "inputSchema": { + "properties": { + "symbol": { + "description": "The stock symbol", + "title": "Symbol", + "type": "string" + } + }, + "required": [ + "symbol" + ], + "title": "get_ticker_infoArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_ticker_infoOutput", + "type": "object" + } + }, + { + "name": "get_ticker_news", + "description": "Fetches recent news articles related to a specific stock symbol with title, content, and source details.", + "inputSchema": { + "properties": { + "symbol": { + "description": "The stock symbol", + "title": "Symbol", + "type": "string" + } + }, + "required": [ + "symbol" + ], + "title": "get_ticker_newsArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_ticker_newsOutput", + "type": "object" + } + }, + { + "name": "search", + "description": "Fetches and organizes search results from Yahoo Finance, including stock quotes and news articles.", + "inputSchema": { + "properties": { + "query": { + "description": "The search query (ticker symbol or company name)", + "title": "Query", + "type": "string" + }, + "search_type": { + "description": "Type of search results to retrieve", + "enum": [ + "all", + "quotes", + "news" + ], + "title": "Search Type", + "type": "string" + } + }, + "required": [ + "query", + "search_type" + ], + "title": "searchArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "searchOutput", + "type": "object" + } + }, + { + "name": "get_top", + "description": "Get top entities (ETFs, mutual funds, companies, growth companies, or performing companies) in a sector.", + "inputSchema": { + "properties": { + "sector": { + "description": "The sector to get", + "enum": [ + "basic-materials", + "communication-services", + "consumer-cyclical", + "consumer-defensive", + "energy", + "financial-services", + "healthcare", + "industrials", + "real-estate", + "technology", + "utilities" + ], + "title": "Sector", + "type": "string" + }, + "top_type": { + "description": "Type of top companies to retrieve", + "enum": [ + "top_etfs", + "top_mutual_funds", + "top_companies", + "top_growth_companies", + "top_performing_companies" + ], + "title": "Top Type", + "type": "string" + }, + "top_n": { + "default": 10, + "description": "Number of top entities to retrieve (limit the results)", + "title": "Top N", + "type": "integer" + } + }, + "required": [ + "sector", + "top_type" + ], + "title": "get_topArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_topOutput", + "type": "object" + } + }, + { + "name": "get_price_history", + "description": "Fetch historical price data for a given stock symbol over a specified period and interval.", + "inputSchema": { + "properties": { + "symbol": { + "description": "The stock symbol", + "title": "Symbol", + "type": "string" + }, + "period": { + "default": "1mo", + "description": "Time period to retrieve data for (e.g. '1d', '1mo', '1y')", + "enum": [ + "1d", + "5d", + "1mo", + "3mo", + "6mo", + "1y", + "2y", + "5y", + "10y", + "ytd", + "max" + ], + "title": "Period", + "type": "string" + }, + "interval": { + "default": "1d", + "description": "Data interval frequency (e.g. '1d', '1h', '1m')", + "enum": [ + "1m", + "2m", + "5m", + "15m", + "30m", + "60m", + "90m", + "1h", + "1d", + "5d", + "1wk", + "1mo", + "3mo" + ], + "title": "Interval", + "type": "string" + } + }, + "required": [ + "symbol" + ], + "title": "get_price_historyArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_price_historyOutput", + "type": "object" + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Wikipedia MCP Server", + "organization": "cablate", + "description": "A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to Large Language Models (LLMs). This tool helps AI assistants access factual information from Wikipedia to ground their responses in reliable sources.", + "web": "https://github.com/Rudra-ravi/wikipedia-mcp", + "config": { + "mcpServers": { + "wikipedia": { + "command": "uvx", + "args": [ + "wikipedia-mcp" + ] + } + } + }, + "category": "Discovery", + "tools": { + "wikipedia": { + "server_name": "wikipedia", + "version": "0.1.0", + "tools": [ + { + "name": "search_wikipedia", + "description": "Search Wikipedia for articles matching a query.", + "inputSchema": { + "properties": { + "query": { + "title": "Query", + "type": "string" + }, + "limit": { + "default": 10, + "title": "Limit", + "type": "integer" + } + }, + "required": [ + "query" + ], + "title": "search_wikipediaArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "get_article", + "description": "Get the full content of a Wikipedia article.", + "inputSchema": { + "properties": { + "title": { + "title": "Title", + "type": "string" + } + }, + "required": [ + "title" + ], + "title": "get_articleArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "get_summary", + "description": "Get a summary of a Wikipedia article.", + "inputSchema": { + "properties": { + "title": { + "title": "Title", + "type": "string" + } + }, + "required": [ + "title" + ], + "title": "get_summaryArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "summarize_article_for_query", + "description": "Get a summary of a Wikipedia article tailored to a specific query.", + "inputSchema": { + "properties": { + "title": { + "title": "Title", + "type": "string" + }, + "query": { + "title": "Query", + "type": "string" + }, + "max_length": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "default": 250, + "title": "Max Length" + } + }, + "required": [ + "title", + "query" + ], + "title": "summarize_article_for_queryArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "summarize_article_section", + "description": "Get a summary of a specific section of a Wikipedia article.", + "inputSchema": { + "properties": { + "title": { + "title": "Title", + "type": "string" + }, + "section_title": { + "title": "Section Title", + "type": "string" + }, + "max_length": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "default": 150, + "title": "Max Length" + } + }, + "required": [ + "title", + "section_title" + ], + "title": "summarize_article_sectionArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "extract_key_facts", + "description": "Extract key facts from a Wikipedia article, optionally focused on a topic.", + "inputSchema": { + "properties": { + "title": { + "title": "Title", + "type": "string" + }, + "topic_within_article": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Topic Within Article" + }, + "count": { + "default": 5, + "title": "Count", + "type": "integer" + } + }, + "required": [ + "title" + ], + "title": "extract_key_factsArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "get_related_topics", + "description": "Get topics related to a Wikipedia article based on links and categories.", + "inputSchema": { + "properties": { + "title": { + "title": "Title", + "type": "string" + }, + "limit": { + "default": 10, + "title": "Limit", + "type": "integer" + } + }, + "required": [ + "title" + ], + "title": "get_related_topicsArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "get_sections", + "description": "Get the sections of a Wikipedia article.", + "inputSchema": { + "properties": { + "title": { + "title": "Title", + "type": "string" + } + }, + "required": [ + "title" + ], + "title": "get_sectionsArguments", + "type": "object" + }, + "annotations": null + }, + { + "name": "get_links", + "description": "Get the links contained within a Wikipedia article.", + "inputSchema": { + "properties": { + "title": { + "title": "Title", + "type": "string" + } + }, + "required": [ + "title" + ], + "title": "get_linksArguments", + "type": "object" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "MCP OKPPT Server", + "organization": "NeekChaw", + "description": "一个基于Model Context Protocol (MCP)的服务器工具，专门用于将SVG图像插入到PowerPoint演示文稿中。它能够保留SVG的矢量特性，确保在PowerPoint中显示的图像保持高品质和可缩放性。", + "web": "https://github.com/NeekChaw/mcp-server-okppt", + "config": { + "mcpServers": { + "okppt": { + "command": "uvx", + "args": [ + "mcp-server-okppt" + ] + } + } + }, + "category": "Visualization", + "tools": { + "okppt": { + "server_name": "okppt", + "version": "0.1.0", + "tools": [ + { + "name": "insert_svg", + "description": "\n将SVG图像插入到PPTX文件的指定位置。(如果需要替换已有的幻灯片，请组合使用`delete_slide`和`insert_blank_slide`功能)\n如果未提供PPTX路径，将自动创建一个临时文件，位于服务器同级目录的tmp目录。\n如果未提供输出路径，将使用标准输出目录，位于服务器同级目录的output目录。\n如果未提供坐标，默认对齐幻灯片左上角。\n如果未提供宽度和高度，默认覆盖整个幻灯片（16:9）。\n\n支持批量处理：\n- 如果svg_path是单个字符串数组，则将SVG添加到slide_number指定的页面\n- 如果svg_path是列表，则从slide_number开始顺序添加每个SVG，即第一个SVG添加到\n slide_number页，第二个添加到slide_number+1页，依此类推\n\nArgs:\n pptx_path: PPTX文件路径，如果未提供则自动创建一个临时文件，最好使用英文路径\n svg_path: SVG文件路径或SVG文件路径列表，最好使用英文路径\n slide_number: 起始幻灯片编号（从1开始）\n x_inches: X坐标（英寸），如果未指定则默认为0\n y_inches: Y坐标（英寸），如果未指定则默认为0\n width_inches: 宽度（英寸），如果未指定则使用幻灯片宽度\n height_inches: 高度（英寸），如果未指定则根据宽度计算或使用幻灯片高度\n output_path: 输出文件路径，如果未指定则使用标准输出目录\n create_if_not_exists: 如果为True且PPTX文件不存在，将自动创建一个新文件\n \nReturns:\n 操作结果消息，包含详细的错误信息（如果有）\n", + "inputSchema": { + "properties": { + "pptx_path": { + "title": "Pptx Path", + "type": "string" + }, + "svg_path": { + "items": { + "type": "string" + }, + "title": "Svg Path", + "type": "array" + }, + "slide_number": { + "default": 1, + "title": "Slide Number", + "type": "integer" + }, + "x_inches": { + "default": 0, + "title": "X Inches", + "type": "number" + }, + "y_inches": { + "default": 0, + "title": "Y Inches", + "type": "number" + }, + "width_inches": { + "default": 16, + "title": "Width Inches", + "type": "number" + }, + "height_inches": { + "default": 9, + "title": "Height Inches", + "type": "number" + }, + "output_path": { + "default": "", + "title": "Output Path", + "type": "string" + }, + "create_if_not_exists": { + "default": true, + "title": "Create If Not Exists", + "type": "boolean" + } + }, + "required": [ + "pptx_path", + "svg_path" + ], + "title": "insert_svgArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "insert_svgOutput", + "type": "object" + } + }, + { + "name": "list_files", + "description": "\n列出目录中的文件，可选按文件类型过滤。\n如需查看svg文件是否正确保存，请输入svg文件的保存路径。\nArgs:\n directory: 要列出文件的目录路径\n file_type: 文件类型过滤，可以是 \"svg\" 或 \"pptx\"\n \nReturns:\n 文件列表（每行一个文件）\n", + "inputSchema": { + "properties": { + "directory": { + "default": ".", + "title": "Directory", + "type": "string" + }, + "file_type": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "File Type" + } + }, + "title": "list_filesArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "list_filesOutput", + "type": "object" + } + }, + { + "name": "get_file_info", + "description": "\n获取文件信息，如存在状态、大小等。\n\nArgs:\n file_path: 要查询的文件路径\n \nReturns:\n 文件信息\n", + "inputSchema": { + "properties": { + "file_path": { + "title": "File Path", + "type": "string" + } + }, + "required": [ + "file_path" + ], + "title": "get_file_infoArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_file_infoOutput", + "type": "object" + } + }, + { + "name": "convert_svg_to_png", + "description": "\n将SVG文件转换为PNG图像。\n\nArgs:\n svg_path: SVG文件路径\n output_path: 输出PNG文件路径，如果未指定则使用相同文件名但扩展名为.png\n \nReturns:\n 操作结果消息\n", + "inputSchema": { + "properties": { + "svg_path": { + "title": "Svg Path", + "type": "string" + }, + "output_path": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Output Path" + } + }, + "required": [ + "svg_path" + ], + "title": "convert_svg_to_pngArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "convert_svg_to_pngOutput", + "type": "object" + } + }, + { + "name": "get_pptx_info", + "description": "\n获取PPTX文件的基本信息，包括幻灯片数量。\n\nArgs:\n pptx_path: PPTX文件路径\n \nReturns:\n 包含文件信息和幻灯片数量的字符串\n", + "inputSchema": { + "properties": { + "pptx_path": { + "title": "Pptx Path", + "type": "string" + } + }, + "required": [ + "pptx_path" + ], + "title": "get_pptx_infoArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "get_pptx_infoOutput", + "type": "object" + } + }, + { + "name": "save_svg_code", + "description": "\n将SVG代码保存为SVG文件并返回保存的绝对路径。\n!!!注意：特殊字符如\"&\"需要转义为\"&\"\nArgs:\n svg_code: SVG代码内容\n \nReturns:\n 操作结果消息，包含保存的文件路径或错误信息\n", + "inputSchema": { + "properties": { + "svg_code": { + "title": "Svg Code", + "type": "string" + } + }, + "required": [ + "svg_code" + ], + "title": "save_svg_codeArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "save_svg_codeOutput", + "type": "object" + } + }, + { + "name": "delete_slide", + "description": "\n从PPTX文件中删除指定编号的幻灯片。\n\n!!!注意：\n\n在使用SVG替换PPT幻灯片内容时，我们发现了一些关键点，以下是正确替换PPT内容的方法总结：\n\n### 正确替换PPT内容的方法\n\n1. **完全替换法**（最可靠）：\n- 删除需要替换的幻灯片（使用`delete_slide`功能）\n- 在同一位置插入空白幻灯片（使用`insert_blank_slide`功能）\n- 将新的SVG内容插入到空白幻灯片（使用`insert_svg`功能）\n\n2. **新文件法**（适合多页修改）：\n- 创建全新的PPT文件\n- 将所有需要的SVG（包括已修改的）按顺序插入到新文件中\n- 这样可以避免在旧文件上操作导致的混淆和叠加问题\n\n3. **注意事项**：\n- 直接对现有幻灯片插入SVG会导致新内容叠加在原内容上，而非替换\n- 文件名可能会随着多次操作变得过长，影响可读性\n- 批量插入SVG时，`svg_path`参数必须是数组形式，即使只有一个文件\n- 操作后应检查输出文件以确认修改是否成功\n\n### 推荐工作流\n\n1. 先保存修改后的SVG内容到文件\n2. 创建一个全新的PPT文件\n3. 按顺序一次性插入所有SVG（包括已修改和未修改的）\n4. 使用简洁直观的文件名\n\n这种���法避免了多步骤操作导致的文件混乱，也能确保每张幻灯片都是干净的、不包含叠加内容的。\n\nArgs:\n pptx_path: PPTX文件路径\n slide_number: 要删除的幻灯片编号（从1开始）\n output_path: 输出文件路径，如果未指定则使用标准输出目录\n \nReturns:\n 操作结果消息\n", + "inputSchema": { + "properties": { + "pptx_path": { + "title": "Pptx Path", + "type": "string" + }, + "slide_number": { + "title": "Slide Number", + "type": "integer" + }, + "output_path": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Output Path" + } + }, + "required": [ + "pptx_path", + "slide_number" + ], + "title": "delete_slideArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "delete_slideOutput", + "type": "object" + } + }, + { + "name": "insert_blank_slide", + "description": "\n在PPTX文件的指定位置插入一个空白幻灯片。\n\n!!!注意：\n\n在使用SVG替换PPT幻灯片内容时，我们发现了一些关键点，以下是正确替换PPT内容的方法总结：\n\n### 正确替换PPT内容的方法\n\n1. **完全替换法**（最可靠）：\n- 删除需要替换的幻灯片（使用`delete_slide`功能）\n- 在同一位置插入空白幻灯片（使用`insert_blank_slide`功能）\n- 将新的SVG内容插入到空白幻灯片（使用`insert_svg`功能）\n\n2. **新文件法**（适合多页修改）：\n- 创建全新的PPT文件\n- 将所有需要的SVG（包括已修改的）按顺序插入到新文件中\n- 这样可以避免在旧文件上操作导致的混淆和叠加问题\n\n3. **注意事项**：\n- 直接对现有幻灯片插入SVG会导致新内容叠加在原内容上，而非替换\n- 文件名可能会随着多次操作变得过长，影响可读性\n- 批量插入SVG时，`svg_path`参数必须是数组形式，即使只有一个文件\n- 操作后应检查输出文件以确认修改是否成功\n\n### 推荐工作流\n\n1. 先保存修改后的SVG内容到文件\n2. 创建一个全新的PPT文件\n3. 按顺序一次性插入所有SVG（包括已修改和未修改的）\n4. 使用简洁直观的文件名\n\n这种方法避免了多步骤操作导致的文件混乱，也能确保每张幻灯片都是干净的、不包含叠加内容的。\n\nArgs:\n pptx_path: PPTX文件路径\n slide_number: 要插入幻灯片的位置编号（从1开始）\n layout_index: 幻灯片布局索引，默认为6（空白布局）\n output_path: 输出文件路径，如果未指定则使用标准输出目录\n create_if_not_exists: 如果为True且PPTX文件不存在，将自动创建一个新文件\n \nReturns:\n 操作结果消息\n", + "inputSchema": { + "properties": { + "pptx_path": { + "title": "Pptx Path", + "type": "string" + }, + "slide_number": { + "title": "Slide Number", + "type": "integer" + }, + "layout_index": { + "default": 6, + "title": "Layout Index", + "type": "integer" + }, + "output_path": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Output Path" + }, + "create_if_not_exists": { + "default": true, + "title": "Create If Not Exists", + "type": "boolean" + } + }, + "required": [ + "pptx_path", + "slide_number" + ], + "title": "insert_blank_slideArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "insert_blank_slideOutput", + "type": "object" + } + }, + { + "name": "copy_svg_slide", + "description": "\n专门用于复制包含SVG图像的幻灯片，确保SVG和相关引用都被正确复制。\n\n此函数使用直接操作PPTX内部XML文件的方式，确保SVG图像及其引用在复制过程中完全保留。\n与普通的copy_slide函数相比，此函数特别关注SVG图像的复制，保证SVG的矢量属性在复制后依然可用。\n\nArgs:\n source_pptx_path: 源PPTX文件路径\n target_pptx_path: 目标PPTX文件路径，如果为空则创建新文件\n source_slide_number: 要复制的源幻灯片页码（从1开始）\n target_slide_number: 要插入到目标文件的位置（从1开始），如果为None则添加到末尾\n output_path: 输出文件路径，如果未指定则使用标准输出目录\n create_if_not_exists: 如果为True且目标PPTX文件不存在，将自动创建一个新文件\n \nReturns:\n 操作结果消息\n", + "inputSchema": { + "properties": { + "source_pptx_path": { + "title": "Source Pptx Path", + "type": "string" + }, + "target_pptx_path": { + "default": "", + "title": "Target Pptx Path", + "type": "string" + }, + "source_slide_number": { + "default": 1, + "title": "Source Slide Number", + "type": "integer" + }, + "target_slide_number": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Target Slide Number" + }, + "output_path": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Output Path" + }, + "create_if_not_exists": { + "default": true, + "title": "Create If Not Exists", + "type": "boolean" + } + }, + "required": [ + "source_pptx_path" + ], + "title": "copy_svg_slideArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "copy_svg_slideOutput", + "type": "object" + } + }, + { + "name": "svg_prompt", + "description": "使用SVG设计宗师角色提示，当用户希望大模型生成或优化ppt时，使用此prompt对用户需求进行细化", + "inputSchema": { + "properties": { + "source": { + "title": "Source", + "type": "string" + } + }, + "required": [ + "source" + ], + "title": "svg_promptArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "svg_promptOutput", + "type": "object" + } + }, + { + "name": "analyze_presentation_layouts", + "description": "Analyzes the layout details of a PowerPoint presentation and returns a JSON string of the analysis.", + "inputSchema": { + "properties": { + "prs_path": { + "title": "Prs Path", + "type": "string" + }, + "title": { + "default": "演示文稿", + "title": "Title", + "type": "string" + } + }, + "required": [ + "prs_path" + ], + "title": "analyze_presentation_layoutsArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "analyze_presentation_layoutsOutput", + "type": "object" + } + }, + { + "name": "add_slide_with_layout", + "description": "Inserts a new slide with a specified layout into a presentation and returns a JSON string of the result.", + "inputSchema": { + "properties": { + "prs_path": { + "title": "Prs Path", + "type": "string" + }, + "layout_name": { + "title": "Layout Name", + "type": "string" + }, + "output_path": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Output Path" + }, + "slide_title": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Slide Title" + } + }, + "required": [ + "prs_path", + "layout_name" + ], + "title": "add_slide_with_layoutArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "add_slide_with_layoutOutput", + "type": "object" + } + }, + { + "name": "clear_placeholders_from_slides", + "description": "Clears content from placeholders in specified slides of a presentation and returns a JSON string of the result.", + "inputSchema": { + "properties": { + "prs_path": { + "title": "Prs Path", + "type": "string" + }, + "output_path": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Output Path" + }, + "slide_indices": { + "anyOf": [ + { + "items": { + "type": "integer" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Slide Indices" + } + }, + "required": [ + "prs_path" + ], + "title": "clear_placeholders_from_slidesArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "clear_placeholders_from_slidesOutput", + "type": "object" + } + }, + { + "name": "set_placeholder_value", + "description": "Assigns content to a specific placeholder on a specific slide and returns a JSON string of the result.", + "inputSchema": { + "properties": { + "prs_path": { + "title": "Prs Path", + "type": "string" + }, + "slide_idx": { + "title": "Slide Idx", + "type": "integer" + }, + "placeholder_id": { + "title": "Placeholder Id", + "type": "integer" + }, + "content_to_set": { + "title": "Content To Set", + "type": "string" + }, + "output_path": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Output Path" + } + }, + "required": [ + "prs_path", + "slide_idx", + "placeholder_id", + "content_to_set" + ], + "title": "set_placeholder_valueArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "title": "Result", + "type": "string" + } + }, + "required": [ + "result" + ], + "title": "set_placeholder_valueOutput", + "type": "object" + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Time MCP Server", + "organization": "modelcontextprotocol", + "description": "A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.", + "web": "https://github.com/modelcontextprotocol/servers/tree/main/src/time", + "config": { + "mcpServers": { + "time": { + "command": "uvx", + "args": [ + "mcp-server-time", + "--local-timezone=America/New_York" + ] + } + } + }, + "category": "Discovery", + "tools": { + "time": { + "server_name": "time", + "version": "0.1.0", + "tools": [ + { + "name": "get_current_time", + "description": "Get current time in a specific timezones", + "inputSchema": { + "type": "object", + "properties": { + "timezone": { + "type": "string", + "description": "IANA timezone name (e.g., 'America/New_York', 'Europe/London'). Use 'America/New_York' as local timezone if no timezone provided by the user." + } + }, + "required": [ + "timezone" + ] + }, + "annotations": null + }, + { + "name": "convert_time", + "description": "Convert time between timezones", + "inputSchema": { + "type": "object", + "properties": { + "source_timezone": { + "type": "string", + "description": "Source IANA timezone name (e.g., 'America/New_York', 'Europe/London'). Use 'America/New_York' as local timezone if no source timezone provided by the user." + }, + "time": { + "type": "string", + "description": "Time to convert in 24-hour format (HH:MM)" + }, + "target_timezone": { + "type": "string", + "description": "Target IANA timezone name (e.g., 'Asia/Tokyo', 'America/San_Francisco'). Use 'America/New_York' as local timezone if no target timezone provided by the user." + } + }, + "required": [ + "source_timezone", + "time", + "target_timezone" + ] + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "kospi-kosdaq-stock-server", + "organization": "dragon1086", + "description": "An MCP server that provides KOSPI/KOSDAQ stock data using FastMCP.", + "web": "https://github.com/dragon1086/kospi-kosdaq-stock-server", + "config": { + "mcpServers": { + "kospi-kosdaq": { + "command": "uvx", + "args": [ + "kospi_kosdaq_stock_server" + ] + } + } + }, + "category": "Finance", + "tools": { + "kospi-kosdaq": { + "server_name": "kospi-kosdaq", + "version": "0.1.0", + "tools": [ + { + "name": "load_all_tickers", + "description": "Loads all ticker symbols and names for KOSPI and KOSDAQ into memory.\n\nReturns:\n Dict[str, str]: A dictionary mapping tickers to stock names.\n Example: {\"005930\": \"삼성전자\", \"035720\": \"카카오\", ...}\n", + "inputSchema": { + "properties": {}, + "title": "load_all_tickersArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": { + "type": "string" + }, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "load_all_tickersOutput", + "type": "object" + } + }, + { + "name": "get_stock_ohlcv", + "description": "Retrieves OHLCV (Open/High/Low/Close/Volume) data for a specific stock.\n\nArgs:\n fromdate (str): Start date for retrieval (YYYYMMDD)\n todate (str): End date for retrieval (YYYYMMDD)\n ticker (str): Stock ticker symbol\n adjusted (bool, optional): Whether to use adjusted prices (True: adjusted, False: unadjusted). Defaults to True.\n\nReturns:\n DataFrame:\n >> get_stock_ohlcv(\"20210118\", \"20210126\", \"005930\")\n Open High Low Close Volume\n Date\n 2021-01-26 89500 94800 89500 93800 46415214\n 2021-01-25 87300 89400 86800 88700 25577517\n 2021-01-22 89000 89700 86800 86800 30861661\n 2021-01-21 87500 88600 86500 88100 25318011\n 2021-01-20 89000 89000 86500 87200 25211127\n 2021-01-19 84500 88000 83600 87000 39895044\n 2021-01-18 86600 87300 84100 85000 43227951\n", + "inputSchema": { + "properties": { + "fromdate": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Fromdate" + }, + "todate": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Todate" + }, + "ticker": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Ticker" + }, + "adjusted": { + "default": true, + "title": "Adjusted", + "type": "boolean" + } + }, + "required": [ + "fromdate", + "todate", + "ticker" + ], + "title": "get_stock_ohlcvArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "get_stock_ohlcvOutput", + "type": "object" + } + }, + { + "name": "get_stock_market_cap", + "description": "Retrieves market capitalization data for a specific stock.\n\nArgs:\n fromdate (str): Start date for retrieval (YYYYMMDD)\n todate (str): End date for retrieval (YYYYMMDD)\n ticker (str): Stock ticker symbol\n\nReturns:\n DataFrame:\n >> get_stock_market_cap(\"20150720\", \"20150724\", \"005930\")\n Market Cap Volume Trading Value Listed Shares\n Date\n 2015-07-24 181030885173000 196584 241383636000 147299337\n 2015-07-23 181767381858000 208965 259446564000 147299337\n 2015-07-22 184566069261000 268323 333813094000 147299337\n 2015-07-21 186039062631000 194055 244129106000 147299337\n 2015-07-20 187806654675000 128928 165366199000 147299337\n", + "inputSchema": { + "properties": { + "fromdate": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Fromdate" + }, + "todate": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Todate" + }, + "ticker": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Ticker" + } + }, + "required": [ + "fromdate", + "todate", + "ticker" + ], + "title": "get_stock_market_capArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "get_stock_market_capOutput", + "type": "object" + } + }, + { + "name": "get_stock_fundamental", + "description": "Retrieves fundamental data (PER/PBR/Dividend Yield) for a specific stock.\n\nArgs:\n fromdate (str): Start date for retrieval (YYYYMMDD)\n todate (str): End date for retrieval (YYYYMMDD)\n ticker (str): Stock ticker symbol\n\nReturns:\n DataFrame:\n >> get_stock_fundamental(\"20210104\", \"20210108\", \"005930\")\n BPS PER PBR EPS DIV DPS\n Date\n 2021-01-08 37528 28.046875 2.369141 3166 1.589844 1416\n 2021-01-07 37528 26.187500 2.210938 3166 1.709961 1416\n 2021-01-06 37528 25.953125 2.189453 3166 1.719727 1416\n 2021-01-05 37528 26.500000 2.240234 3166 1.690430 1416\n 2021-01-04 37528 26.218750 2.210938 3166 1.709961 1416\n", + "inputSchema": { + "properties": { + "fromdate": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Fromdate" + }, + "todate": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Todate" + }, + "ticker": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Ticker" + } + }, + "required": [ + "fromdate", + "todate", + "ticker" + ], + "title": "get_stock_fundamentalArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "get_stock_fundamentalOutput", + "type": "object" + } + }, + { + "name": "get_stock_trading_volume", + "description": "Retrieves trading volume by investor type for a specific stock.\n\nArgs:\n fromdate (str): Start date for retrieval (YYYYMMDD)\n todate (str): End date for retrieval (YYYYMMDD)\n ticker (str): Stock ticker symbol\n\nReturns:\n DataFrame with columns:\n - Volume (Sell/Buy/Net Buy)\n - Trading Value (Sell/Buy/Net Buy)\n Broken down by investor types (Financial Investment, Insurance, Trust, etc.)\n", + "inputSchema": { + "properties": { + "fromdate": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Fromdate" + }, + "todate": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Todate" + }, + "ticker": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ], + "title": "Ticker" + } + }, + "required": [ + "fromdate", + "todate", + "ticker" + ], + "title": "get_stock_trading_volumeArguments", + "type": "object" + }, + "annotations": null, + "outputSchema": { + "properties": { + "result": { + "additionalProperties": true, + "title": "Result", + "type": "object" + } + }, + "required": [ + "result" + ], + "title": "get_stock_trading_volumeOutput", + "type": "object" + } + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "MCP Server: Mermaid Validator", + "organization": "rtuin", + "description": "A Model Context Protocol server that validates and renders Mermaid diagrams. This server enables LLMs to validate and render Mermaid diagrams.", + "web": "https://github.com/rtuin/mcp-mermaid-validator", + "config": { + "mcpServers": { + "mermaid-validator": { + "command": "npx", + "args": [ + "-y", + "@rtuin/mcp-mermaid-validator@latest" + ] + } + } + }, + "category": "Code", + "tools": { + "mermaid-validator": { + "server_name": "mermaid-validator", + "version": "0.1.0", + "tools": [ + { + "name": "validateMermaid", + "description": "Validates a Mermaid diagram and returns the rendered SVG if valid", + "inputSchema": { + "type": "object", + "properties": { + "diagram": { + "type": "string" + } + }, + "required": [ + "diagram" + ], + "additionalProperties": false, + "$schema": "http://json-schema.org/draft-07/schema#" + }, + "annotations": null + } + ], + "model_config": { + "extra": "allow" + } + } + } + }, + { + "name": "Playwright MCP Server", + "organization": "executeautomation", + "description": "A Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screenshots, generate test code, web scraps the page and execute JavaScript in a real browser environment.", + "web": "https://github.com/executeautomation/mcp-playwright", + "config": { + "mcpServers": { + "playwright": { + "command": "npx", + "args": [ + "-y", + "@executeautomation/playwright-mcp-server" + ] + } + } + }, + "category": "Miscellaneous", + "tools": { + "playwright": { + "server_name": "playwright", + "version": "0.1.0", + "tools": [ + { + "name": "start_codegen_session", + "description": "Start a new code generation session to record Playwright actions", + "inputSchema": { + "type": "object", + "properties": { + "options": { + "type": "object", + "description": "Code generation options", + "properties": { + "outputPath": { + "type": "string", + "description": "Directory path where generated tests will be saved (use absolute path)" + }, + "testNamePrefix": { + "type": "string", + "description": "Prefix to use for generated test names (default: 'GeneratedTest')" + }, + "includeComments": { + "type": "boolean", + "description": "Whether to include descriptive comments in generated tests" + } + }, + "required": [ + "outputPath" + ] + } + }, + "required": [ + "options" + ] + }, + "annotations": null + }, + { + "name": "end_codegen_session", + "description": "End a code generation session and generate the test file", + "inputSchema": { + "type": "object", + "properties": { + "sessionId": { + "type": "string", + "description": "ID of the session to end" + } + }, + "required": [ + "sessionId" + ] + }, + "annotations": null + }, + { + "name": "get_codegen_session", + "description": "Get information about a code generation session", + "inputSchema": { + "type": "object", + "properties": { + "sessionId": { + "type": "string", + "description": "ID of the session to retrieve" + } + }, + "required": [ + "sessionId" + ] + }, + "annotations": null + }, + { + "name": "clear_codegen_session", + "description": "Clear a code generation session without generating a test", + "inputSchema": { + "type": "object", + "properties": { + "sessionId": { + "type": "string", + "description": "ID of the session to clear" + } + }, + "required": [ + "sessionId" + ] + }, + "annotations": null + }, + { + "name": "playwright_navigate", + "description": "Navigate to a URL", + "inputSchema": { + "type": "object", + "properties": { + "url": { + "type": "string", + "description": "URL to navigate to the website specified" + }, + "browserType": { + "type": "string", + "description": "Browser type to use (chromium, firefox, webkit). Defaults to chromium", + "enum": [ + "chromium", + "firefox", + "webkit" + ] + }, + "width": { + "type": "number", + "description": "Viewport width in pixels (default: 1280)" + }, + "height": { + "type": "number", + "description": "Viewport height in pixels (default: 720)" + }, + "timeout": { + "type": "number", + "description": "Navigation timeout in milliseconds" + }, + "waitUntil": { + "type": "string", + "description": "Navigation wait condition" + }, + "headless": { + "type": "boolean", + "description": "Run browser in headless mode (default: false)" + } + }, + "required": [ + "url" + ] + }, + "annotations": null + }, + { + "name": "playwright_screenshot", + "description": "Take a screenshot of the current page or a specific element", + "inputSchema": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name for the screenshot" + }, + "selector": { + "type": "string", + "description": "CSS selector for element to screenshot" + }, + "width": { + "type": "number", + "description": "Width in pixels (default: 800)" + }, + "height": { + "type": "number", + "description": "Height in pixels (default: 600)" + }, + "storeBase64": { + "type": "boolean", + "description": "Store screenshot in base64 format (default: true)" + }, + "fullPage": { + "type": "boolean", + "description": "Store screenshot of the entire page (default: false)" + }, + "savePng": { + "type": "boolean", + "description": "Save screenshot as PNG file (default: false)" + }, + "downloadsDir": { + "type": "string", + "description": "Custom downloads directory path (default: user's Downloads folder)" + } + }, + "required": [ + "name" + ] + }, + "annotations": null + }, + { + "name": "playwright_click", + "description": "Click an element on the page", + "inputSchema": { + "type": "object", + "properties": { + "selector": { + "type": "string", + "description": "CSS selector for the element to click" + } + }, + "required": [ + "selector" + ] + }, + "annotations": null + }, + { + "name": "playwright_iframe_click", + "description": "Click an element in an iframe on the page", + "inputSchema": { + "type": "object", + "properties": { + "iframeSelector": { + "type": "string", + "description": "CSS selector for the iframe containing the element to click" + }, + "selector": { + "type": "string", + "description": "CSS selector for the element to click" + } + }, + "required": [ + "iframeSelector", + "selector" + ] + }, + "annotations": null + }, + { + "name": "playwright_iframe_fill", + "description": "Fill an element in an iframe on the page", + "inputSchema": { + "type": "object", + "properties": { + "iframeSelector": { + "type": "string", + "description": "CSS selector for the iframe containing the element to fill" + }, + "selector": { + "type": "string", + "description": "CSS selector for the element to fill" + }, + "value": { + "type": "string", + "description": "Value to fill" + } + }, + "required": [ + "iframeSelector", + "selector", + "value" + ] + }, + "annotations": null + }, + { + "name": "playwright_fill", + "description": "fill out an input field", + "inputSchema": { + "type": "object", + "properties": { + "selector": { + "type": "string", + "description": "CSS selector for input field" + }, + "value": { + "type": "string", + "description": "Value to fill" + } + }, + "required": [ + "selector", + "value" + ] + }, + "annotations": null + }, + { + "name": "playwright_select", + "description": "Select an element on the page with Select tag", + "inputSchema": { + "type": "object", + "properties": { + "selector": { + "type": "string", + "description": "CSS selector for element to select" + }, + "value": { + "type": "string", + "description": "Value to select" + } + }, + "required": [ + "selector", + "value" + ] + }, + "annotations": null + }, + { + "name": "playwright_hover", + "description": "Hover an element on the page", + "inputSchema": { + "type": "object", + "properties": { + "selector": { + "type": "string", + "description": "CSS selector for element to hover" + } + }, + "required": [ + "selector" + ] + }, + "annotations": null + }, + { + "name": "playwright_upload_file", + "description": "Upload a file to an input[type='file'] element on the page", + "inputSchema": { + "type": "object", + "properties": { + "selector": { + "type": "string", + "description": "CSS selector for the file input element" + }, + "filePath": { + "type": "string", + "description": "Absolute path to the file to upload" + } + }, + "required": [ + "selector", + "filePath" + ] + }, + "annotations": null + }, + { + "name": "playwright_evaluate", + "description": "Execute JavaScript in the browser console", + "inputSchema": { + "type": "object", + "properties": { + "script": { + "type": "string", + "description": "JavaScript code to execute" + } + }, + "required": [ + "script" + ] + }, + "annotations": null + }, + { + "name": "playwright_console_logs", + "description": "Retrieve console logs from the browser with filtering options", + "inputSchema": { + "type": "object", + "properties": { + "type": { + "type": "string", + "description": "Type of logs to retrieve (all, error, warning, log, info, debug, exception)", + "enum": [ + "all", + "error", + "warning", + "log", + "info", + "debug", + "exception" + ] + }, + "search": { + "type": "string", + "description": "Text to search for in logs (handles text with square brackets)" + }, + "limit": { + "type": "number", + "description": "Maximum number of logs to return" + }, + "clear": { + "type": "boolean", + "description": "Whether to clear logs after retrieval (default: false)" + } + }, + "required": [] + }, + "annotations": null + }, + { + "name": "playwright_close", + "description": "Close the browser and release all resources", + "inputSchema": { + "type": "object", + "properties": {}, + "required": [] + }, + "annotations": null + }, + { + "name": "playwright_get", + "description": "Perform an HTTP GET request", + "inputSchema": { + "type": "object", + "properties": { + "url": { + "type": "string", + "description": "URL to perform GET operation" + } + }, + "required": [ + "url" + ] + }, + "annotations": null + }, + { + "name": "playwright_post", + "description": "Perform an HTTP POST request", + "inputSchema": { + "type": "object", + "properties": { + "url": { + "type": "string", + "description": "URL to perform POST operation" + }, + "value": { + "type": "string", + "description": "Data to post in the body" + }, + "token": { + "type": "string", + "description": "Bearer token for authorization" + }, + "headers": { + "type": "object", + "description": "Additional headers to include in the request", + "additionalProperties": { + "type": "string" + } + } + }, + "required": [ + "url", + "value" + ] + }, + "annotations": null + }, + { + "name": "playwright_put", + "description": "Perform an HTTP PUT request", + "inputSchema": { + "type": "object", + "properties": { + "url": { + "type": "string", + "description": "URL to perform PUT operation" + }, + "value": { + "type": "string", + "description": "Data to PUT in the body" + } + }, + "required": [ + "url", + "value" + ] + }, + "annotations": null + }, + { + "name": "playwright_patch", + "description": "Perform an HTTP PATCH request", + "inputSchema": { + "type": "object", + "properties": { + "url": { + "type": "string", + "description": "URL to perform PUT operation" + }, + "value": { + "type": "string", + "description": "Data to PATCH in the body" + } + }, + "required": [ + "url", + "value" + ] + }, + "annotations": null + }, + { + "name": "playwright_delete", + "description": "Perform an HTTP DELETE request", + "inputSchema": { + "type": "object", + "properties": { + "url": { + "type": "string", + "description": "URL to perform DELETE operation" + } + }, + "required": [ + "url" + ] + }, + "annotations": null + }, + { + "name": "playwright_expect_response", + "description": "Ask Playwright to start waiting for a HTTP response. This tool initiates the wait operation but does not wait for its completion.", + "inputSchema": { + "type": "object", + "properties": { + "id": { + "type": "string", + "description": "Unique & arbitrary identifier to be used for retrieving this response later with `Playwright_assert_response`." + }, + "url": { + "type": "string", + "description": "URL pattern to match in the response." + } + }, + "required": [ + "id", + "url" + ] + }, + "annotations": null + }, + { + "name": "playwright_assert_response", + "description": "Wait for and validate a previously initiated HTTP response wait operation.", + "inputSchema": { + "type": "object", + "properties": { + "id": { + "type": "string", + "description": "Identifier of the HTTP response initially expected using `Playwright_expect_response`." + }, + "value": { + "type": "string", + "description": "Data to expect in the body of the HTTP response. If provided, the assertion will fail if this value is not found in the response body." + } + }, + "required": [ + "id" + ] + }, + "annotations": null + }, + { + "name": "playwright_custom_user_agent", + "description": "Set a custom User Agent for the browser", + "inputSchema": { + "type": "object", + "properties": { + "userAgent": { + "type": "string", + "description": "Custom User Agent for the Playwright browser instance" + } + }, + "required": [ + "userAgent" + ] + }, + "annotations": null + }, + { + "name": "playwright_get_visible_text", + "description": "Get the visible text content of the current page", + "inputSchema": { + "type": "object", + "properties": {}, + "required": [] + }, + "annotations": null + }, + { + "name": "playwright_get_visible_html", + "description": "Get the HTML content of the current page. By default, all