Docs MCP Server

A Model Context Protocol (MCP) server that provides a search-and-retrieve tool (get_docs) to query and extract clean, relevant information from official documentation sites for modern developer libraries and tools.

Features

• Google Serper API Integration: Queries official documentation sites with specific site: constraints.

• HTML Content Extraction: Automatically scrapes the top organic search results and converts raw HTML into clean plain text using trafilatura (ignoring navigation menus, tables, and footers).

• Supported Documentation Libraries:

  • langchain (python.langchain.com/docs/)

  • chromadb (docs.trychroma.com/)

  • openai (platform.openai.com/docs/)

  • uv (docs.astral.sh/uv/)

  • docker (docs.docker.com/get-started/)

  • redis (redis.com/docs/get-started/)

• Ready-to-Use Client: Includes a sample client that runs the MCP server via stdio transport and utilizes Groq (llama-3.1-8b-instant) to synthesize answers from the retrieved documentation context.

Related MCP server: mcp-docs

Getting Started

1. Requirements

Ensure you have the following installed:

• uv (Python package manager)

• Python 3.10+

2. Environment Configuration

Create a .env file in the root directory and add your API keys:

SERPER_API_KEY=your_serper_api_key_here
GROQ_API_KEY=your_groq_api_key_here

Usage

Run the Client Demonstration

The client starts the MCP server as a subprocess, calls the get_docs tool for a query, and feeds the context to Groq to generate a final answer:

uv run client.py

Run the MCP Server directly

To run the stdio server standalone:

uv run mcp_server.py

Debugging with the MCP Inspector

You can inspect the server, list tools, and execute them using the interactive MCP Inspector:

npx @modelcontextprotocol/inspector uv run mcp_server.py

Claude Desktop Integration

To make this server's tool available to your Claude Desktop client, edit your configuration file:

• Path: ~/Library/Application Support/Claude/claude_desktop_config.json

Add the following to the mcpServers object:

{
  "mcpServers": {
    "docs-search": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/roystondsouza/Desktop/mcp-server",
        "run",
        "mcp_server.py"
      ],
      "env": {
        "SERPER_API_KEY": "your_serper_api_key_here",
        "GROQ_API_KEY": "your_groq_api_key_here"
      }
    }
  }
}

Note: Replace your_serper_api_key_here and your_groq_api_key_here with your actual API keys, or ensure your local environment contains them.

Project Structure

• mcp_server.py: The MCP server implementation exposing the get_docs tool.

• client.py: The client script that initializes the stdio session, executes the tool, and queries Groq.

• utils.py: Contains HTML text extraction and LLM interaction helpers.