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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 Node.js Express server that provides a simplified and configurable interface to the CoinGecko cryptocurrency data API

安装状态

已补齐

命令预览

npx 安装并运行

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这是一个基于Model Context Protocol (MCP)的服务,用于查询B站用户的粉丝数量。通过提供B站用户ID,可以获取该用户的粉丝数。

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A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.

安装状态

已补齐

命令预览

npx -y @buger/docs-mcp@latest --gitUrl https://github.com/buger/probe

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Enables AI agents to interact with INFINI Easysearch (compatible with Elasticsearch/OpenSearch APIs) through 121 tools covering cluster management, index operations, document manipulation, search queries, snapshots, and monitoring.

安装状态

已补齐

命令预览

pip install -e .

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A proof-of-concept demonstrating a custom-built host implementing an OpenAI-compatible API with Google Vertex AI, function calling, and interaction with MCP servers.

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A Model Context Protocol server that enables AI assistants like Claude to interact with Indigo home automation systems through natural language queries for searching and controlling devices, variables, and actions.

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Enables web content retrieval and semantic search capabilities through the Jina AI API. Provides tools to fetch content from URLs and perform intelligent web searches with natural language queries.

安装状态

已补齐

命令预览

pip install -r requirements.txt

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Enables searching and retrieving NixOS configuration options using the official NixOS search API. It provides detailed metadata including option types, default values, and descriptions with full support for paginated results.

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全面解析Pab1it0 Adx 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,Pab1it0 Adx 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。

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Enables web search capabilities within MCP-compatible LLM clients using the Parallel Search API. Designed for daily use and everyday smaller web-search tasks.