mcp-server-docy

Supercharge your AI assistant with instant access to technical documentation.

Docy gives your AI direct access to the technical documentation it needs, right when it needs it. No more outdated information, broken links, or rate limits - just accurate, real-time documentation access for more precise coding assistance.

• Instant Documentation Access: Direct access to docs from React, Python, crawl4ai, and any other tech stack you use
• Hot-Reload Support: Add new documentation sources on-the-fly without restarting - just edit the .docy.urls file!
• Intelligent Caching: Reduces latency and external requests while maintaining fresh content
• Self-Hosted Control: Keep your documentation access within your security perimeter
• Seamless MCP Integration: Works effortlessly with Claude, VS Code, and other MCP-enabled AI tools

> Note: Claude may default to using its built-in WebFetchTool instead of Docy. To explicitly request Docy's functionality, use a callout like: "Please use Docy to find..."

A Model Context Protocol server that provides documentation access capabilities. This server enables LLMs to search and retrieve content from documentation websites by scraping them with crawl4ai. Built with FastMCP v2.

Here are examples of how Docy can help with common documentation tasks:

# Verify implementation against documentation
Are we implementing Crawl4Ai scrape results correctly? Let's check the documentation.

# Explore API usage patterns
What do the docs say about using mcp.tool? Show me examples from the documentation.

# Compare implementation options
How should we structure our data according to the React documentation? What are the best practices?

With Docy, Claude Code can directly access and analyze documentation from configured sources, making it more effective at providing accurate, documentat