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 .