# 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 (302)
- 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 (285,154 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  (208,197 stars)
- [dify](https://model-context-protocol.com/servers/dify): Production-ready platform for agentic workflow development. (159,137 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 (131,414 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 (100,548 stars)
- [awesome-mcp-servers](https://model-context-protocol.com/servers/awesome-mcp-model-context-protocol-servers): A collection of MCP servers. (96,687 stars)
- [ragflow](https://model-context-protocol.com/servers/ragflow): RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. (92,608 stars)
- [servers](https://model-context-protocol.com/servers/model-context-protocol-mcp-servers): Model Context Protocol Servers (91,448 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! (89,014 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, (85,983 stars)
- [netdata](https://model-context-protocol.com/servers/netdata): The fastest path to AI-powered full stack observability, even for lean teams. (81,075 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 (77,554 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 (76,935 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 (69,970 stars)
- [context7](https://model-context-protocol.com/servers/upstash-context7): Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors (63,418 stars)