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ai.smithery/turnono-datacommons-mcp-server
Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…
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Documentation
DataCommons MCP Server
A Model Context Protocol (MCP) server for accessing Data Commons API data.
Features
- Search for indicators and topics
- Get observations and data
- Support for various data formats and chart configurations
- HTTP and stdio transport modes
Installation
Using pip
pip install -r requirements.txt
pip install -e .
Using Docker
docker build -t datacommons-mcp .
docker run -p 8000:8000 datacommons-mcp
Usage
CLI Commands
Start the server in HTTP mode:
python -m datacommons_mcp.cli serve http --host 0.0.0.0 --port 8000
Start the server in stdio mode:
python -m datacommons_mcp.cli serve stdio
Environment Variables
GOOGLE_API_KEY: Your Google API key for Data Commons access
Development
Install development dependencies:
pip install -e ".[dev]"
Run tests:
pytest
Format code:
black .
isort .
License
MIT License