Docs MCP Server

Example Use Cases

• 1

  Search and retrieve the latest library documentation (e.g., langchain, openai, llama-index) for inline answers or code assistance.

• 2

  A standardized MCP endpoint to supply contextual resources and prompts to LLMs during inference.

• 3

  Integrate documentation search into desktop LLM applications (e.g., Claude Desktop) via MCP.

Description

This repository implements a Model Context Protocol (MCP) server that indexes and returns relevant documentation snippets for a given query and library. It exposes MCP resources, tools, and prompts so LLMs and MCP clients (like Claude Desktop) can access contextual data from local files or remote APIs. The server uses the MCP SDK and is designed to be lightweight and easy to run with the provided instructions (uv-based workflow). It helps standardize how applications provide context to models and simplifies connecting LLMs to documentation data sources.