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Google Data Commons MCP Server
MCP server from Google that gives AI agents access to the Data Commons open knowledge graph containing public statistical data from sources like the US Census, World Bank, CDC, and more. Provides two tools: search_indicators for discovering available variables and topics by place or metric, and get_observations for fetching statistical data for specific variables and places. Available as a free hosted service on Google Cloud or self-hosted via Python package or Docker image. Supports Streamable HTTP and stdio transports. Works with Gemini CLI, Claude, and any MCP-compatible client. Apache 2.0 licensed. Install via uvx datacommons-mcp.
MCP unverified
Integration
| Transport | http |
| Auth | api-key |
| Endpoint | data-commons-mcp |
| Install | uvx datacommons-mcp serve stdio |
Use Cases
| 01 | Query public statistical data across countries and regions through natural language, such as GDP rankings, population trends, and health indicators from authoritative sources |
| 02 | Search available indicators and topics for any place or metric using the search_indicators tool to discover what data Data Commons has before fetching observations |
| 03 | Compare economic, demographic, and health statistics across geographies and time periods through AI agent workflows connected to the hosted Data Commons MCP service |
Tags
public-data statistics government census economics health-data open-source google
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>