mcp-google-map and google-maps-mcp-server

These two tools are competitors, as both aim to provide a Model Context Protocol (MCP) server for integrating Google Maps APIs with AI agents or LLMs, offering similar functionalities for geospatial data processing.

mcp-google-map

Established

google-maps-mcp-server

Experimental

Maintenance 10/25

Adoption 10/25

Maturity 25/25

Community 22/25

Maintenance 10/25

Adoption 3/25

Maturity 14/25

Community 0/25

Stars: 191

Forks: 59

Downloads: —

Commits (30d): 0

Language: TypeScript

License: MIT

Stars: 3

Forks: —

Downloads: —

Commits (30d): 0

Language: Python

License: —

No risk flags

No License

About mcp-google-map

cablate/mcp-google-map

A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.

This project gives AI agents the ability to understand and reason about the physical world using Google Maps data. It takes natural language queries about locations, routes, or places and provides structured answers, map images, or optimized plans. It's designed for anyone using AI assistants or large language models for tasks involving real-world geography, such as travel planners, logistics coordinators, or local business analysts.

Geospatial analysis Location intelligence Travel planning Logistics optimization Local SEO

About google-maps-mcp-server

ettysekhon/google-maps-mcp-server

Google Maps MCP Server: Connect AI Agents to Places, Directions, Geocoding & Roads APIs. Deployed on Kubernetes.

Related comparisons

mcp-google-map and map-traveler-mcp mcp-google-map and open-streetmap-mcp mcp-google-map and mcp mcp-google-map and osmmcp mcp-google-map and osmmcp mcp-google-map and google-maps-mcp

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