Docs MCP Server

Docs MCP Server

A search-and-retrieve MCP server that queries official documentation sites for modern libraries like LangChain, OpenAI, and Docker, extracting clean text content using Google Serper API and trafilatura.

Category
访问服务器

README

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.

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.

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