MCP Docs Search Server

Name: MCP Docs Search Server
Author: RohitKrish46

@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

Basic information

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"
      ]
    }
  }
}

Tools

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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.

FAQ from MCP Docs Search Server

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.

What libraries are currently supported?

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

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.

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.

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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