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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Highlight AIScrapes and indexes documentation from a specified URL.
Searches the indexed documentation for relevant information.
Lists all indexed libraries in the documentation.
Removes indexed documentation for a specified library.
Fetches a single URL and converts it to Markdown format.
Finds the best matching version for a specified library.
