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MCP 工具与服务目录

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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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Provides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.

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Enables direct integration with Zentao bug tracking systems through Cursor. Supports authentication, bug retrieval, searching, and listing operations for comprehensive bug management through natural language.

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Enables searching and accessing Readwise highlights and documents through HTTP endpoints using the Model Context Protocol. Provides vector and full-text search capabilities with streaming responses for retrieving reading highlights and notes.

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A production-ready reasoning engine that integrates Claude AI with specialized MCP tools for knowledge retrieval, schema validation, and domain-specific rubric evaluation. It enables structured RAG-based analysis across legal, health, and science domains via a RESTful API.

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A locally-run MCP server that enables downloading images, videos, and LivePhotos from Xiaohongshu (RedNote) and retrieving detailed work information through URL-based queries.

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Enables searching and retrieving academic papers from arXiv by topic, allowing users to discover research papers and extract their metadata including titles, authors, abstracts, and PDF links through natural language queries.

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An MCP server that provides semantic search capabilities by integrating with an OpenSearch-based search service. It enables users to perform complex document searches across multiple indices with support for advanced filtering and robust error handling.

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A unified Model Context Protocol server that integrates multiple search providers including Brave, Tavily, Exa, Semantic Scholar, and arXiv. It enables users to perform web, news, and image searches alongside academic research and citation analysis through a single interface.

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A multi-model platform that integrates RAG (Retrieval-Augmented Generation) with LLMs, supporting OCR via Tesseract and offering both backend API and frontend web interface.