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MCP 工具与服务目录

找到适合你的 MCP Server,快速完成接入

按功能、传输方式和来源整理 MCP Server,提供安装命令、配置方式、仓库与文档入口,方便你快速比较并接入合适的服务。

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87,637
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最近生成
2026-05-22

A clean architecture MCP server implementation with support for multiple transports (SSE and STDIO). Provides extensible tools, resources, and prompts following SOLID principles for real-time AI model communication.

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全面解析KBB99 MCP Registry ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,KBB99 MCP Registry Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

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安装状态
已补齐

命令预览

npx -y @smithery/cli install @KBB99/mcp-registry-server --client claude

全面解析My Docs MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,My Docs MCP Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

搜索检索stdio
安装状态
已补齐

命令预览

npx -y @modelcontextprotocol/inspector node build/index.js ./docs

An MCP server that enables users to query Kedro framework documentation using retrieval-augmented generation. It builds a local knowledge base from documentation files to help users navigate and apply Kedro's data science pipeline framework.

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全面解析Kevinwatt MCP Server SearxngMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Kevinwatt MCP Server Searxng能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

搜索检索HTTP
安装状态
已补齐

命令预览

npm install -g @kevinwatt/mcp-server-searxng

Provides comprehensive SEO analysis by crawling websites and generating AI-powered keyword insights, search volume data, and competitor strategies. It delivers detailed reports on keyword clusters and commercial intent to help optimize digital marketing workflows.

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Provide AI assistants with powerful SEO research capabilities by accessing keyword data, domain analysis, backlink information, and traffic metrics. Enable comprehensive keyword research and competit…

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安装状态
已补齐

命令预览

npx -y smithery mcp add hithereiamaliff/mcp-keywords-everywhere

Using the KeywordsPeopleUse MCP Server integration you can directly interact with the keyword research functionality available from KeywordsPeopleUse within your AI chat.\\n\\nThis means you can now access and work with live Google People Also Ask Data, Google Autocomplete data, Reddit and Quora questions, and Sematic Keyword data directly in your LLM

搜索检索stdio
安装状态
已补齐

命令预览

npx mcp-remote https://mcp-keywordspeopleuse.com/sse --header Authorization:YOUR_API_KEY {}

An MCP server that interfaces with Google NotebookLM to enable autonomous academic research and systematic knowledge management. It allows users to perform deep web searches and automatically generate study artifacts like research reports, presentation slides, and audio overviews.

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Transforms Claude into a production-grade pair programmer by orchestrating best-in-class APIs (Morph, Chroma, DSPy) for iterative code evolution to 95%+ quality, semantic codebase search, package discovery across 3,000+ libraries, and pattern learning.

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KinielaGPT es un servidor MCP (Model Context Protocol) diseñado para potenciar tus predicciones de la Quiniela mediante un análisis avanzado de datos. Combina las probabilidades oficiales de LAE con un análisis contextual profundo: histórico de enfrentamientos, rachas recientes, clasificación y rendimiento como local o visitante. Ofrece tres estrategias de predicción, detección de sorpresas y un análisis pormenorizado partido a partido.

搜索检索stdio
安装状态
已补齐

命令预览

python -m kinielagpt [object Object]

全面解析Kiwamizamurai MCP Kibela ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Kiwamizamurai MCP Kibela Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

搜索检索SSE

Search flights, compare prices, and manage travel bookings. Find the best routes, check availability, and track itineraries.

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安装状态
已补齐

命令预览

npx -y smithery mcp add kiwi

全面解析Kleros Court MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Kleros Court MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

搜索检索SSE

PubMed research tools for AI agents — 3 tools, structured JSON output, verified citations.

搜索检索HTTP
安装状态
已补齐

命令预览

npx -y smithery mcp add knitify/research-api

Description\\r\\nKnowAir Weather MCP is a comprehensive weather and air quality Model Context Protocol (MCP) server. It provides real-time meteorological data and detailed air quality monitoring (PM2.5, PM10, O₃, SO₂, NO₂, CO, AQI – CN \u0026 US standards), along with short- and long-term forecasts and astronomical information. Built with Python 3.12+ and FastMCP, it integrates with the Caiyun Weather API to deliver high-precision environmental intelligence.\\r\\n\\r\\nFeatures\\r\\n\\t•\\t🌤️ Meteorology: real-time temperature, humidity, wind, precipitation\\r\\n\\t•\\t🏙️ Air Quality: pollutant concentrations + AQI (CN \u0026 US)\\r\\n\\t•\\t📅 Forecasts: 72-hour hourly and 7-day daily predictions\\r\\n\\t•\\t🌧️ Minute-level precipitation: hyper-local rain/snow timing (China cities)\\r\\n\\t•\\t🌅 Astronomy: sunrise, sunset, moon phases\\r\\n\\t•\\t⚠️ Alerts: real-time weather and air quality warnings\\r\\n\\r\\nExample Usage\\r\\nAsk Claude (with this MCP enabled):\\r\\n\\r\\n“What’s the current weather and air quality in Beijing?”\\r\\n“Get comprehensive environmental data for 116.4575, 39.9113”

搜索检索stdio
安装状态
已补齐

命令预览

CAIYUN_WEATHER_API_TOKEN={CAIYUN_WEATHER_API_TOKEN} uv --directory /ABSOLUTE/PATH/TO/PARENT/...