Connect Google Maps data to LLMs for routing, place search, and validation.
Overall this appears to be an open-source, auditable third-party MCP tool with no disclosed secrets or fixed remote endpoints, so baseline risk is not high. The main caution is that it invokes Google Maps Platform APIs and is marked as capable of executing code, so it should be treated as a standard caution-level tool.
No credentials or environment variables are disclosed; there is no sign of credential collection, forwarding, or abuse.
No specific remote endpoints are listed, but the tool explicitly calls Google Maps Platform APIs, so queries and location data may be sent to external map services.
The system check flags executes-code, meaning the MCP service runs locally and can execute code/processes; this is a normal capability here and no extra privilege red flags are shown.
The description covers map data access such as directions, place search, address validation, photos, and elevation, but it does not indicate local file access or data beyond map-query scope.
The source is open with a GitHub repository and GPL 3.0 license, making it auditable; however, 0 stars and unknown maintenance status mean average supply-chain confidence and warrant review of dependencies and updates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "google-maps-mcp" yet — see the docs or source repo.
Use google-maps-mcp to get driving directions from Shanghai Hongqiao Railway Station to West Lake in Hangzhou, including estimated time, total distance, and key navigation steps.
Structured route details with distance, duration, and step-by-step navigation summary.
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A list of nearby places with key comparable fields for selection.
Use google-maps-mcp to validate the address "1600 Amphitheatre Parkway, Mountain View, CA", determine whether it is valid, and return the standardized address and coordinates.
Address validity result, standardized address, and corresponding latitude/longitude.
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