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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

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36,828

最近生成

2026-05-22

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A simple blog API service built with FastMCP that allows users to fetch all blogs, search for blogs by title, and add new blog posts.

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Enables Claude to manage blog posts via MCP, supporting CRUD operations, search, and statistics with Express and MongoDB.

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A powerful, production-ready MCP server implementing the Model Context Protocol with robust SSE transport, built-in tools, and comprehensive error handling. Seamlessly connect AI models to data sources with enterprise-grade stability and performance.

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Enables AI assistants to save and search bookmarks using OpenAI's RAG capabilities for intelligent bookmark management and retrieval.

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Enables character management and semantic search for the Auto-Movie application through WebSocket communication. Supports creating characters with personality/appearance descriptions and finding similar characters using natural language queries with embedding-based similarity matching.

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全面解析MCP Server Microsoft365 FilesearchMCP 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,MCP Server Microsoft365 Filesearch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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A protocol interface that extends AI capabilities by enabling models to interact with external systems for calculations, email operations, knowledge search, and more.

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A protocol implementation that extends AI capabilities through a WebSocket interface, enabling mathematical calculations, email operations, knowledge search, and remote device control.

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全面解析MCP Search LinkupMCP 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,MCP Search Linkup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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MCPChain brings the Model Context Protocol to Web3 by anchoring agent tools, trust registries, and attestable executions on-chain.

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Enables direct access to raw Markdown content from files or directories without processing. Perfect for providing AI models with business rules, documentation, or knowledge bases exactly as written.

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A local MCP server for RAG memory, semantic search, and context optimization using Ollama and SQLite. It serves as a central hub that manages document embeddings, text compression, and proxies calls to other sub-MCP servers.