# Model Context Protocol Directory

> The community directory of MCP servers and clients for AI agents.

## What is MCP?

Model Context Protocol (MCP) is an open standard that lets AI models securely connect
to external data sources and tools. This directory catalogs MCP servers and clients
with AI-analyzed descriptions, setup guides, and live GitHub metadata.

## Browse

- MCP Servers: https://model-context-protocol.com/servers
- MCP Clients: https://model-context-protocol.com/clients
- Blog & guides: https://model-context-protocol.com/blog
- Full LLM index: https://model-context-protocol.com/llms.txt
- API catalog: https://model-context-protocol.com/.well-known/api-catalog

## Server Categories

- AI (428)
- Developer Tools (300)
- Communication (57)
- System Tools (48)
- Database (42)
- Search & Knowledge (40)
- Productivity (35)
- Sales (3)

## Top MCP Servers (by GitHub stars)

- [everything-claude-code](https://model-context-protocol.com/servers/everything-claude-code): The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development f (240,402 stars)
- [n8n](https://model-context-protocol.com/servers/n8n): Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host  (200,871 stars)
- [dify](https://model-context-protocol.com/servers/dify): Production-ready platform for agentic workflow development. (152,596 stars)
- [graphify](https://model-context-protocol.com/servers/graphify): Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill fo (107,007 stars)
- [awesome-mcp-servers](https://model-context-protocol.com/servers/awesome-mcp-model-context-protocol-servers): A collection of MCP servers. (92,415 stars)
- [servers](https://model-context-protocol.com/servers/model-context-protocol-mcp-servers): Model Context Protocol Servers (89,609 stars)
- [ragflow](https://model-context-protocol.com/servers/ragflow): RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. (88,594 stars)
- [netdata](https://model-context-protocol.com/servers/netdata): The fastest path to AI-powered full stack observability, even for lean teams. (80,203 stars)
- [Scrapling](https://model-context-protocol.com/servers/scrapling): 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! (74,443 stars)
- [awesome-claude-skills](https://model-context-protocol.com/servers/awesome-claude-skills): A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows (72,600 stars)
- [Agent-Reach](https://model-context-protocol.com/servers/agent-reach): Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongSh (72,227 stars)
- [headroom](https://model-context-protocol.com/servers/headroom): Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library (66,507 stars)
- [system_prompts_leaks](https://model-context-protocol.com/servers/system-prompts-leaks): Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini (62,989 stars)
- [TrendRadar](https://model-context-protocol.com/servers/trendradar): ⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与 (61,500 stars)
- [context7](https://model-context-protocol.com/servers/upstash-context7): Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors (60,836 stars)