Google Maps announced a suite of AI-driven features powered by Gemini models, aimed at both developers and everyday users. The rollout includes a Builder Agent that generates map‑based prototypes from text prompts, a styling agent for custom map designs, and a Model Context Protocol (MCP) server that links AI assistants to Maps documentation. Additional tools such as Grounding Lite and Contextual View provide low‑code visual answers to location queries. The enhancements also extend to consumer experiences, with hands‑free Gemini navigation and region‑specific alerts in select markets. Leia mais →

Google has introduced the Data Commons Model Context Protocol (MCP) Server, a new service that lets developers, data scientists and AI agents retrieve real‑world statistics through natural‑language queries. Built on the company’s Data Commons platform, which aggregates public datasets from government surveys, local administrations and international bodies, the MCP Server aims to provide high‑quality, structured data to improve AI training and reduce hallucinations. The launch follows the adoption of the MCP standard by firms such as OpenAI and Microsoft, and includes tools like the Agent Development Kit, Gemini CLI and a PyPI package for easy integration. A partnership with the ONE Campaign has produced the ONE Data Agent, demonstrating the server’s capability to surface millions of financial and health data points in plain language. Leia mais →