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 AIIndex documentation from a specified URL. Parameters: project (string), url (string), options (optional object including preserveHashes: boolean)
Query the indexed documentation for specific terms. Parameters: project (string), query (string), options (optional object including output format: json|yaml|toon)
Fetch a single page from a URL and return it in Markdown format. Parameters: url (string)
Start the Docs MCP server to run a long-lasting endpoint for clients. No parameters required.
