matbel91765/gis-mcp-server

Overview

An open-source MCP server providing geospatial tools for AI agents. It supports geocoding, routing, elevation queries, spatial analysis, and file I/O for Shapefile, GeoJSON, and GeoPackage formats. Built in Python, it integrates with AI agent workflows via the Model Context Protocol.

Best for

Best for
Developers building AI agents that need basic geospatial analysis and file handling capabilities

Use cases

• Geocode addresses for location enrichment in agent responses
• Calculate routes or elevation profiles for spatial reasoning tasks
• Read and write geospatial files to process GIS data

How to use

Install

pip install locusync-server

Tools exposed

• NOMINATIM_URL
• NOMINATIM_USER_AGENT
• OSRM_URL
• OSRM_PROFILE
• PELIAS_URL
• PELIAS_API_KEY
• OPEN_ELEVATION_URL
• GIS_DEFAULT_CRS
• GIS_TEMP_DIR

Tested with

Claude Desktop

Notes

An open-source MCP server providing geospatial tools for AI agents. It supports geocoding, routing, elevation queries, spatial analysis, and file I/O for Shapefile, GeoJSON, and GeoPackage formats. Built in Python, it integrates with AI agent workflows via the Model Context Protocol.

3 stars on GitHub. Last updated 2025-12-05. Licensed MIT.

Use cases

• Geocode addresses for location enrichment in agent responses
• Calculate routes or elevation profiles for spatial reasoning tasks
• Read and write geospatial files to process GIS data

Pros

• Offers a wide range of geospatial operations in a single server
• Uses standard MCP protocol for easy integration with AI agents
• Open source with permissive licensing, allowing customization

Cons

• Low community adoption (3 stars) suggests limited testing and support
• Python-only dependency may restrict deployment environments
• Documentation and examples are minimal, requiring self-guided setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.