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.
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
stdiotransport 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 theget_docstool.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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