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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
87,637
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36,826
最近生成
2026-05-22

Enables recipe search, storage, and meal planning using TheMealDB API. Provides comprehensive recipe discovery, automatic recipe collection management, and custom meal plan creation with detailed cooking instructions and ingredients.

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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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Search and explore US federal recreation areas, campgrounds, facilities, permits, and reservations via the RIDB.

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安装状态
已补齐

命令预览

npx -y smithery mcp add recreation-gov

全面解析Redbook Search Comment MCP2.0MCP 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,Redbook Search Comment MCP2.0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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安装状态
已补齐

命令预览

pip install -r requirements.txt

全面解析Reddit Buddy MCPMCP 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,Reddit Buddy MCP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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安装状态
已补齐

命令预览

npx reddit-buddy --auth

全面解析Reddit Research MCPMCP 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,Reddit Research MCP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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安装状态
已补齐

命令预览

npx -y mcp-remote \

全面解析Reddit Insights MCPMCP 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,Reddit Insights MCP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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安装状态
已补齐

命令预览

npx reddit-insights-mcp

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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## Features\\r\\n- **Device Control**: GPIO, PWM, sensors, cameras\\r\\n- **Robotic Arms**: Amber B1, Lucid One with gripper support\\r\\n- **Mesh Networking**: Auto-discovery across LAN\\r\\n- **Security**: AES-256 encryption, token auth\\r\\n\\r\\n## Installation\\r\\npip install regennexus\\r\\n

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安装状态
已补齐

命令预览

python -m regennexus.mcp_server [object Object]

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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全面解析MCP Google Scholar DevMCP 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 Google Scholar Dev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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安装状态
已补齐

命令预览

pip install fastmcp google-api-python-client python-dotenv