An MCP server that retrieves documentation from official sources (LangChain, LlamaIndex, OpenAI, uv) using Serper API, extracts page content, and provides context for LLM-based answers.
An MCP server that retrieves and cleans official documentation for popular AI/Python libraries via web search and LLM processing, exposing a get_docs tool.
An intelligent MCP server that enables AI agents to crawl, index, and semantically search official framework documentation using local RAG. It prevents hallucinations by providing precise, up-to-date documentation excerpts directly into the AI's context window.
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.