Documentation Scraper
Summary
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.
Available Actions(9)
scrape_docs
Starts a scraping job for documentation and returns a jobId immediately.
get_job_status
Checks the current status and progress of a specific job.
list_jobs
Lists all active and completed jobs.
cancel_job
Attempts to stop a running or queued job.
search_docs
Searches the indexed documentation for a specific library.
list_libraries
Lists all libraries currently indexed in the store.
find_version
Finds the appropriate version for a library based on the target version.
remove_docs
Removes indexed documents for a specific library and version.
fetch_url
Fetches a single URL and returns its content as Markdown.
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Highlight AIQuick Setup
Bundle and Download
Our bundler currently only supports TypeScript-based servers. Check back soon!