Google Maps

Google Maps

Official
google

Connects Google Maps Platform APIs to AI models through MCP, enabling natural language queries for places, routes, elevation data, and weather with 3D map visualization.

Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like Google Maps. Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.

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What it does

  • Search for places using natural language queries
  • Calculate routes and travel directions
  • Retrieve elevation data for geographic locations
  • Look up weather information for trip planning
  • Visualize results on interactive 3D maps
  • Ground AI responses with real-world geographic data

Best for

Trip planning and travel applicationsGeographic data exploration and analysisBuilding location-aware AI assistantsDevelopers integrating maps with LLMs
3D map visualization includedGrounding Lite integration with Gemini APIReal-time geographic data access

About Google Maps

Google Maps is an official MCP server published by google that provides AI assistants with tools and capabilities via the Model Context Protocol. Find official MCP servers for Google Maps. Explore resources to build, integrate, and extend apps with Google directions It is categorized under cloud infrastructure, developer tools.

How to install

You can install Google Maps in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

License

Google Maps is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

google/mcp

This repository contains a list of Google's official Model Context Protocol (MCP) servers, guidance on how to deploy MCP servers to Google Cloud, and examples to get started.

⚡ Google MCP Servers

Remote MCP servers

These remote MCP servers are managed by Google, and are available via endpoint. This list will be kept up-to-date as more remote servers become available.

Open-source MCP servers

You can run these open-source MCP servers locally, or deploy them to Google Cloud (see below).

💻 Examples

  • Launch My Bakery (/examples/launchmybakery): A sample agent built with Agent Development Kit (ADK) that uses remote MCP servers for Google Maps and BigQuery.

📙 Resources

Run an MCP server in Google Cloud

🤝 Contributing

We welcome contributions to this repository, including bug reports, feature requests, documentation improvements, and code contributions. Please see our Contributing Guidelines to get started.

📃 License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

Disclaimers

This is not an officially supported Google product. This project is intended for demonstration purposes only.

This project is not eligible for the Google Open Source Software Vulnerability Rewards Program.

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