How do I install Turnono Datacommons?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Turnono Datacommons need an API key?

No required environment variable is listed on this record.

What transport does Turnono Datacommons use?

Turnono Datacommons is reached over HTTP.

Turnono Datacommons

by ai.smithery

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

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Server URL

https://server.smithery.ai/@turnono/datacommons-mcp-server/mcp

Provider

Add in Claude

Claude opens with the name and URL filled in. You still confirm it there.

Claude Code

claude mcp add --transport http ai.smithery-turnono-datacommons-mcp-server https://server.smithery.ai/@turnono/datacommons-mcp-server/mcp

Run in a terminal.

Claude Desktop

{
  "mcpServers": {
    "ai.smithery-turnono-datacommons-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://server.smithery.ai/@turnono/datacommons-mcp-server/mcp"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Related MCP

Related skills

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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