Data Commons MCP server.
Project description
Data Commons MCP Server
This is a Model Context Protocol (MCP) server for fetching public statistical data from Data Commons instances.
Data Commons is an open knowledge repository that provides a unified view across multiple public data sets and statistics. This server allows any MCP-enabled agent or client to query the Data Commons knowledge graph.
Features
- MCP-Compliant: Implements the Model Context Protocol for seamless agent integration.
- Data Commons Access: Fetches public statistics and data from the base datacommons.org knowledge graph.
- Custom Instance Support: Can be configured to work with Custom Data Commons instances.
- Flexible Serving: Runs over both streamable HTTP and stdio.
Quickstart
Prerequisites
- You must have a Data Commons API key; create one at apikeys.datacommons.org.
- Install
uvby following the official installation instructions.
Configuration
Set the following required environment variable in your shell:
export DC_API_KEY=<your API key>
Start the server
Run the server from your command line in one of two modes:
Streamable HTTP
This runs the server with Streamable HTTP.
# Runs on default port 8080
uvx datacommons-mcp serve http [--port <PORT>]
The server will be available at http://localhost:<port>/mcp.
stdio
This transport mode is intended for local integrations and is programmatically configured within a client (like Gemini CLI settings) to communicate over stdio.
uvx datacommons-mcp serve stdio
Clients
You can use any MCP-enabled agent or client to connect to your running server. For example, see the Data Commons MCP documentation for guides on connecting:
Or see your preferred client's documentation for how to configure it, using the commands listed above.
Advanced Configuration
Using MCP Tools with a Custom Data Commons
Follow the Guide for using MCP Tools with Custom Data Commons to set additional environment variables required for custom configuration.
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