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by RohitKrish46 • Documentation & Docs
A lightweight MCP server that searches the web and returns clean, up-to-date documentation content for AI libraries (LangChain, LlamaIndex, OpenAI).
Retrieve and synthesize current documentation pages for LangChain, LlamaIndex, or OpenAI in real time.
Extract clean, human-readable text from HTML documentation pages for downstream reasoning or answer generation.
An MCP-compatible get_docs tool to plug documentation lookup into LLM workflows or developer tooling (e.g., Claude Desktop integration).
This project exposes a get_docs MCP tool that uses the Serper API to find relevant documentation pages and BeautifulSoup to extract readable text. It enables LLM agents to query and fetch live documentation content in real time, bridging models with external doc sources. The server is extendable to additional libraries and designed for seamless integration with MCP-compatible clients and tools (e.g., Claude Desktop).
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