Maps Experience Agent Tools is a Google Maps Platform service that lets large language models (LLMs) pull trusted geospatial data from Google Maps. It works over the Model Context Protocol (MCP) and over REST, so it can be used with any model or agent framework that supports either.
The tools cover places, weather, air quality, pollen and routes. A place search returns an AI-generated summary along with place IDs, latitude and longitude, and Google Maps links. Search along a route finds places near a journey and reports the detour distance and time. Weather tools return current conditions, hourly history, and hourly and daily forecasts. Route tools return distance and duration, and a retrieval token for driving routes. Other tools resolve place names, addresses and Google Maps URLs into place IDs.
The product is aimed at developers building AI applications who want their models to answer questions with location data. To use it, you enable the MCP server on a Google Cloud project, authenticate with an API key or OAuth, and then configure your LLM to call the server. Python, Java and TypeScript examples are provided, along with direct REST calls.
Pricing is pay-as-you-go and split into two SKUs, Essentials and Pro. Each request is billed at the Essentials rate unless it uses a Pro option, such as search along a route, extended place details, real-time traffic in routes, or pollen forecasts. Both SKUs use the same tools, server and credentials. Google's documentation also notes that the tools do not return detailed turn-by-turn navigation, and that a model's final answer may not include the exact data the server returned, so responses should be checked.
