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MCP Docs Search Server

@RohitKrish46

Repository

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

RohitKrish46

About MCP Docs Search Server

This is a lightweight, plug-and-play MCP server that empowers any LLM to dynamically search and retrieve up-to-date documentation from popular AI libraries such as LangChain, LlamaIndex, and OpenAI.

#documentation-tool#llms#mcp-server

MCP Docs Search Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "documnetation": {
      "command": "uv",
      "args": [
        "--directory",
        "your_reository_where_the_repo_exists",
        "run",
        "main.py"
      ]
    }
  }
}

MCP Docs Search Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Docs Search Server?

A lightweight MCP server that searches and retrieves relevant documentation content from popular AI libraries like LangChain, LlamaIndex, and OpenAI using web search and content parsing. It acts as a bridge between LLMs and external documentation sources, enabling language models to query and fetch up-to-date documentation dynamically.

How to use MCP Docs Search Server?

Clone the repository, create a virtual environment with uv, install dependencies (mcp[cli], httpx, beautifulsoup4), and set the SERPER_API_KEY environment variable. Integrate with Claude Desktop by adding the server configuration to claude_desktop_config.json, then use the get_docs tool with a query and library name. Debug in real time using npx @modelcontextprotocol/inspector uv run main.py.

Key features of MCP Docs Search Server

  • Searches documentation via the Serper API (Google).
  • Extracts clean, human-readable text with BeautifulSoup.
  • Provides a structured get_docs tool for LLM agents.
  • Supports LangChain, LlamaIndex, and OpenAI libraries.
  • Designed for seamless integration with Claude Desktop.

Use cases of MCP Docs Search Server

  • Enabling an LLM to fetch and reason over the latest LangChain documentation during a conversation.
  • Querying LlamaIndex or OpenAI docs in real time without manual browsing.
  • Providing an LLM agent with up-to-date external knowledge for answering technical questions.
  • Serving as a reusable documentation bridge for any MCP-compatible client.

Frequently asked questions

1

What dependencies does the server require?

It requires Python (managed via uv), the `mcp[cli]`, `httpx`, and `beautifulsoup4` packages, plus a Serper API key stored as the `SERPER_API_KEY` environment variable.

2

What libraries are currently supported?

LangChain, LlamaIndex, and OpenAI. More libraries can be added by updating the `docs_urls` dictionary.

3

How does the `get_docs` tool work?

It accepts a query string and a library name, searches for relevant documentation pages, fetches and parses clean text content, and returns the result to the LLM for further reasoning.

4

Can I debug the server in real time?

Yes. Use `npx @modelcontextprotocol/inspector uv run main.py` after installing Node.js 18+, then follow the port where the connection is set up.

5

How do I integrate this server with Claude Desktop?

Add the server configuration to `claude_desktop_config.json` under `mcpServers`, specifying the command `uv` with the directory and `run main.py`, then restart Claude Desktop.

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