Today marks the launch of the Data Commons Model Context Protocol (MCP) Server, which allows developers to query our connected public data with simple, natural language. This means Data Commons’ public datasets are instantly accessible and actionable for AI developers and data scientists—without the need for custom code or complex API interactions. MCP Server also advances Data Commons’ larger mission of using trustworthy data to reduce large language model (LLM) hallucinations.

Global organization ONE is using Data Commons MCP Server with the free ONE Data Agent, a powerful new tool for advocates shaping policy and driving change. Learn more about how Data Commons MCP Server is shifting data-driven decisions from complicated to practical on the Google for Developers blog.