Docs MCP Server provides a specialized documentation scraping and retrieval system that enables AI assistants to access library documentation from various sources including GitHub, NPM, PyPI, and web pages. Built with TypeScript, it implements a pipeline architecture that handles document scraping, processing, splitting, and storage with features like semantic markdown splitting, greedy chunk optimization, and version-aware retrieval. The server exposes tools for searching documentation, finding specific versions, listing available libraries, and managing scraping jobs through a well-defined API. Particularly valuable for developers who need AI assistants to reference accurate, up-to-date documentation without leaving their workflow.
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Index new documentation using the built-in tool. Example usage: Please scrape the React documentation from https://react.dev/reference/react for library 'react' version '18.x'.
List indexed libraries in the documentation database.
Search the documentation for a specific library and term. Parameters: library (string), query (string).
Start a temporary web interface that shares the same database for managing documentation.
Scrape new documentation from a specified URL. Example usage: npx @arabold/docs-mcp-server@latest scrape react https://react.dev/reference/react --server-url http://localhost:6280/api.
