An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.
Local MCP server that indexes documentation from URLs/files into a vector database, enabling coding agents to search and use up-to-date library and API documentation.
Provides a local MCP server for searching and retrieving documentation from 22+ open-source projects, enabling AI coding assistants to access up-to-date docs without network dependency.
A local MCP server that fetches official library documentation (llms.txt-first), caches it to disk, and serves relevant sections to coding agents offline with deterministic retrieval.
A documentation MCP server that crawls websites and Git repositories, stores them as Markdown, and provides tools to search and retrieve documentation for local LLMs and AI agents.