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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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Recon indexes your codebase into a knowledge graph and exposes it via 14 MCP tools. AI agents get dependency mapping, blast radius analysis, safe multi-file rename, execution flow tracing, Cypher queries, semantic search, and PR review without reading every file. Supports 13 languages, live re-index in ~50ms, and zero config setup.

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An MCP server that provides both read-only and authenticated access to Reddit content and interactions without requiring a developer API key. It enables users to browse posts, search subreddits, and perform write actions like commenting and voting by leveraging browser session cookies.

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Enables interaction with Reddit through the Reddit API, allowing users to search posts, retrieve saved content, fetch comments, reply to comments, and access detailed post information with comment trees.

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Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.

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Enables searching Reddit posts, fetching subreddit content, and retrieving post comments without requiring an API key. It uses public JSON endpoints to provide seamless access to Reddit data for LLM-based applications.

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Enables interaction with Rememberizer.ai knowledge repositories to search, retrieve, and store information across sources like Slack, Gmail, and Google Drive. It supports semantic search and agentic queries to access and manage personal or team internal knowledge.

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Provides access to personal/team knowledge repositories with tools to search, retrieve, and save information from various sources including Slack, Gmail, and document storage platforms.

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Enables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.

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Enables semantic search and retrieval of personal and team knowledge from connected sources like Slack, Gmail, Google Drive, and Dropbox, with the ability to save new information for future recall.

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Enables semantic search and retrieval from your local markdown brain (Remember.md) via MCP tools, running entirely offline with local embeddings.

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Persistent knowledge memory layer for AI agents. Hybrid semantic + full-text search with pgvector, code dependency graph with blast-radius impact analysis, and incremental indexing for 7 languages. In-process ONNX embeddings, no external API required.

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Enables users to search and retrieve package repository information from Repology through natural language. Supports searching projects, getting detailed package information, and checking repository problems across multiple Linux distributions and package managers.

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Research B2B prospects, get the recommended sales angle, and prep for meetings — all from your AI agent. 7-day brief cache, OAuth or API key auth, shared quota with the RepScale web app.

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Enables AI assistants to perform comprehensive research by searching Google, mining Reddit discussions, scraping web content with JS rendering, and synthesizing findings with citations into structured context.

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MCP server for publishing markdown AI research entries to a Convex database. Supports both development and production environments with secure deployment credentials.

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Enables discovery and analysis of research ecosystems by extracting metadata from paper URLs, GitHub repositories, and research names. Automatically finds related papers, code repositories, models, datasets, and authors across platforms like arXiv, HuggingFace, and GitHub.