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Turnono Datacommons Server

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Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…

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About

Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…

README

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

from github.com/turnono/datacommons-mcp-server

Installing Turnono Datacommons Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/turnono/datacommons-mcp-server

FAQ

Is Turnono Datacommons Server MCP free?

Yes, Turnono Datacommons Server MCP is free — one-click install via Unyly at no cost.

Does Turnono Datacommons Server need an API key?

No, Turnono Datacommons Server runs without API keys or environment variables.

Is Turnono Datacommons Server hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Turnono Datacommons Server in Claude Desktop, Claude Code or Cursor?

Open Turnono Datacommons Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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