This MCP server enhances Claude with documentation search capabilities across popular AI/ML libraries, making it easier to find and understand technical information without leaving your conversation.
# Clone the repository
git clone https://github.com/your-username/claude-docs-assistant.git
cd claude-docs-assistant
# Create a virtual environment (recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
Create a .env
file in the project root with your API key:
SERPER_API_KEY=your_serper_api_key_here
Launch the MCP server with:
python main.py
You should see output indicating the server is running and waiting for Claude to connect.
Once connected, you can ask Claude questions that will trigger the documentation search:
Could you explain how to use FAISS with LangChain? Please search the langchain documentation to help me.
Claude will automatically:
The assistant currently searches documentation for:
python.langchain.com/docs
docs.llamaindex.ai/en/stable
platform.openai.com/docs
You can extend the supported documentation by modifying the docs_urls
dictionary in main.py
:
docs_urls = {
"langchain": "python.langchain.com/docs",
"llama-index": "docs.llamaindex.ai/en/stable",
"openai": "platform.openai.com/docs",
"huggingface": "huggingface.co/docs", # Add new documentation sources
"tensorflow": "www.tensorflow.org/api_docs",
}
To adjust the number of search results:
payload = json.dumps({"q": query, "num": 5}) # Increase from default 2
.env
fileFor more detailed logs, add this to the main.py file:
import logging
logging.basicConfig(level=logging.DEBUG)
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "python-documentation-search" '{"command":"python","args":["main.py"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"python-documentation-search": {
"command": "python",
"args": [
"main.py"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"python-documentation-search": {
"command": "python",
"args": [
"main.py"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect