by JordanGunn · MCP Server · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.
| Stars | 67 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 45.15/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-30 |
| Created | 2025-09-05 |
| Platforms | mcp, python |
| Est. Tokens | ~61k |
These tools work well together with gdal-mcp for enhanced workflows:
Looking for a gdal-mcp alternative? If you're comparing gdal-mcp with other mcp server tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM pr
AI-powered CesiumJS 3D globe control 49 tools for camera, entities, layers, animation & spatial analysis via
Cesium AI Integrations is a collection of reference integrations and experiments connecting the Cesium ecosyst
Explore other popular mcp server tools:
gdal-mcp is Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligen. It is categorized as a MCP Server with 67 GitHub stars.
gdal-mcp is primarily written in Python. It covers topics such as earth-observation, gdal, geospatial.
You can find installation instructions and usage details in the gdal-mcp GitHub repository at github.com/JordanGunn/gdal-mcp. The project has 67 stars and 7 forks, indicating an active community.
gdal-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gdal-mcp on Agent Skills Hub include mcp-google-map, cesium-mcp, cesium-ai-integrations. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.