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 9/25

Maturity 10/25

Community 0/25

Stars: 191

Forks: 59

Downloads: —

Commits (30d): 0

Language: TypeScript

License: MIT

Stars: 3

Forks: —

Downloads: 569

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.

Exposes 18 geospatial tools (geocoding, routing, elevation, air quality, place search) across stdio, HTTP, and CLI modes, with built-in tool-chaining optimization via the Routes API for multi-stop waypoint ordering. Includes an agent skill definition that teaches LLMs how to compose these tools sequentially, plus features like local search ranking tracking and context-reduction via selective tool registration.

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 google-maps-mcp mcp-google-map and osmmcp

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