# 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 (433)
- Developer Tools (301)
- 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 (278,519 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  (207,252 stars)
- [dify](https://model-context-protocol.com/servers/dify): Production-ready platform for agentic workflow development. (158,373 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 (126,134 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 (96,924 stars)
- [awesome-mcp-servers](https://model-context-protocol.com/servers/awesome-mcp-model-context-protocol-servers): A collection of MCP servers. (96,281 stars)
- [ragflow](https://model-context-protocol.com/servers/ragflow): RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. (92,152 stars)
- [servers](https://model-context-protocol.com/servers/model-context-protocol-mcp-servers): Model Context Protocol Servers (91,215 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! (87,286 stars)
- [crawl4ai](https://model-context-protocol.com/servers/crawl4ai): Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, (85,457 stars)
- [netdata](https://model-context-protocol.com/servers/netdata): The fastest path to AI-powered full stack observability, even for lean teams. (80,917 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 (76,985 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 (75,177 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 (69,541 stars)
- [context7](https://model-context-protocol.com/servers/upstash-context7): Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors (62,986 stars)