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ai.smithery/turnono-datacommons-mcp-server

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

Source code Documentation

What can you do with ai.smithery/turnono-datacommons-mcp-server?

  • Search for indicators and topics
  • Get observations and data
  • Support for various data formats and chart configurations
  • HTTP and stdio transport modes

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http turnono-datacommons-mcp-server 'https://server.smithery.ai/@turnono/datacommons-mcp-server/mcp' --header 'Authorization: <Bearer token for Smithery authentication>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "turnono-datacommons-mcp-server": {
            "type": "http",
            "url": "https://server.smithery.ai/@turnono/datacommons-mcp-server/mcp",
            "headers": {
                "Authorization": "<Bearer token for Smithery authentication>"
            }
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. DataCommons MCP Server
  2. Features
  3. Installation
  4. Usage
  5. Development
  6. License

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

Frequently asked questions

What is ai.smithery/turnono-datacommons-mcp-server?

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

How do I install ai.smithery/turnono-datacommons-mcp-server?

It runs as a remote server. In Claude Code: claude mcp add --transport http turnono-datacommons-mcp-server 'https://server.smithery.ai/@turnono/datacommons-mcp-server/mcp' --header 'Authorization: <Bearer token for Smithery authentication>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does ai.smithery/turnono-datacommons-mcp-server need an API key?

Yes. It expects Authorization, which you set in its configuration.

Is ai.smithery/turnono-datacommons-mcp-server open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains ai.smithery/turnono-datacommons-mcp-server?

It is published by turnono. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.