mcp-google-map and open-streetmap-mcp
These are complements that serve different use cases: Google Maps MCP excels at routing, traffic, and business location data, while OpenStreetMap MCP provides open-source vector tile access and offline-capable mapping, allowing developers to choose based on proprietary vs. open-data requirements.
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.
About open-streetmap-mcp
jagan-shanmugam/open-streetmap-mcp
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.
This project helps anyone needing detailed location intelligence by enhancing large language models with real-world geospatial data. You can input addresses, locations, or areas, and receive outputs like optimized meeting points, neighborhood analyses, route directions, or specific points of interest. It's ideal for urban planners, real estate professionals, event organizers, or anyone making location-based decisions.
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