Google Maps unveils AI tools to let users build interactive map projects without coding

New Delhi: New Google Maps AI tools help developers and users create engaging custom map projects.  Google Maps has launched new AI-powered tools for developers and users to create custom and interactive map projects. These tools – a builder agent, styling agent and MCP server – developed using the Google Gemini models aim to help these developers and users better maximise the uses of Maps data for coding or visualisation. For example, users can create prototypes of maps uniquely for their effect just by writing down what they want as text, speeding up the development and making it user-friendly to non-developers too. 

As the company has said, this is a natural development in all its extensification of its generative AI tools to its mapping suite. Users can generate Street View tours and can visualise the live weather and services such as pet-friendly hotels with simple prompts. The projects can then be exported, tried out and further generated via Firebase Studio, giving a full workflow to both the casual and the expert developer.

The new builder agent functions as an automated coding assistant by creating projects based on commands given in natural language. Users can ask it to make interactive visualisations or travel guides, and the system builds the framework immediately. Simultaneously, Google also delivered a styling agent in which users can make their maps look fashionable and aesthetically appropriate to some brand identity or theme desirable for businesses and creators who want customised mapping experiences and don’t want to go to the trouble of writing complex code.

Google is also enhancing developer support with the introduction of the MCP server, a source that plugs right into Google Maps’ technical documentation. This lets developers ask for inputs from the Maps API and get back instant advice on code or information about data usages. The other addition is Grounding Lite, which lets AI models query real-world data via maps using the Model Context Protocol (MCP), allowing assistants to answer location-based questions such as "How far is the nearest grocery store?”

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In addition to developer tools, Google is rolling out more Gemini-enabled features in Maps for consumers. Users can now use Gemini in hands-free mode to navigate and receive contextual updates about incidents that may arise, such as alerts for speed limits and incidents in selected areas of India. These updates reflect Google’s continued attempt to make Maps more intelligent, interactive and consumer-friendly across all its platforms.