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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。

正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

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A local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.

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Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.

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Connect Claude, Cursor, Windsurf and other AI agents to macOS native apps — Mail, Calendar, Contacts, Reminders, Notes, iMessage, Finder, Safari, OmniFocus, Microsoft Teams, Outlook, OneDrive, Word, Excel, PowerPoint, and PDF. 82 tools. All data stays on your Mac.

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A local MCP server that allows AI systems to search and retrieve information from a custom knowledge base generated from markdown files. It provides tools for natural language text search, category browsing, and specific content chunk retrieval.

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A fully offline local RAG server that utilizes ChromaDB and Ollama to index and query PDF, text, and Markdown documents. It allows users to manage local knowledge bases and perform semantic searches with AI-generated responses.

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A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.

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Enables completely offline Wikipedia search through locally-indexed content using BM25 algorithm, allowing AI assistants to query Wikipedia without internet connectivity or external API calls.

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Local Speech-to-Text MCP Server offers fast and private transcription using whisper.cpp, designed for Apple Silicon. Enjoy seamless audio support and multiple output formats while keeping memory usage low. 🐙✨

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Enables WordPress content extraction, keyword research using Google autocomplete and Trends data, and generation of SEO-optimized content with quality metrics.

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Enables log analysis, searching, counting, and system metrics retrieval (CPU, memory, disk) via natural language, using 5 tools that can be integrated with Claude Code.

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An MCP server for intelligent log analysis providing semantic search, error pattern clustering, and smart error detection. It enables users to process, vectorize, and query local logs to efficiently identify issues and generate AI-powered summaries.

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Search 1000+ local food producers in Norway. Natural language, Norwegian & English. Tools: lokal_search, lokal_discover, lokal_info, lokal_stats

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Enables AI models to query and analyze Kubernetes cluster logs through Grafana Loki, supporting semantic operations like error aggregation and pod restart detection. It provides tools for regex-based log searching and namespace discovery to facilitate natural language troubleshooting.

文档知识stdio

全面解析Lostinbrittany Clever Doc 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,Lostinbrittany Clever Doc 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。

安装状态

已补齐

命令预览

npx fastmcp dev src/index.ts