Server data from the Official MCP Registry
Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…
About
Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…
Remote endpoints: streamable-http: https://server.smithery.ai/@turnono/datacommons-mcp-server/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
4 files analyzed · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
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
Reviews
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