mahdin75/gis-mcp
CommunityConnects LLMs to GIS operations, enabling AI agents to perform geospatial analys
This MCP server connects Large Language Models (LLMs) to GIS operations using GIS libraries. It enables AI assistants to perform geospatial operations and transformations, integrating climate, biodiversity, land cover, movement, satellite, and administrative data.
What it does
- This MCP server connects Large Language Models (LLMs) to GIS operations using GIS libraries.
- It enables AI assistants to perform geospatial operations and transformations, integrating climate, biodiversity, land cover, movement, satellite, and administrative data.
Best for
mahdin75/gis-mcp is a MCP server categorised under ai / ml, environmental data, gis operations, geospatial libraries. This MCP server connects Large Language Models (LLMs) to GIS operations using GIS libraries. It enables AI assistants to perform geospatial operations and transformations, integrating climate, biodiversity, land cover, movement, satellite, and administrative data.
Pick your MCP client from the Install panel on this page to get a one-click install link (Cursor, VS Code) or a ready-to-paste configuration for Claude Desktop, Claude Code, Gemini, Codex, Windsurf, and other MCP-compatible clients. No local setup required for remote servers.
mahdin75/gis-mcp is released under the MIT license. This is a permissive open-source license, so you can freely use, modify, and distribute it — subject to its terms.
Comments
Be the first to leave a comment after using this server in production.
README
Refreshed 3mo agoGIS MCP Server
| Category | Badges |
|---|---|
| Package |    |
| Installation & Transport |    |
| Data Sources |       |
| Agentic AI | -3776AB?logo=langchain&logoColor=white){kind=icon} -111827?logo=openai&logoColor=white){kind=icon} |
| Community |    |
✨ Want to perform accurate geospatial analysis in your chatbot? ✨
Install GIS-MCP and transform your AI's spatial capabilities!
A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform geospatial operations and transformations.
🌐 Website: gis-mcp.com
Current version is 0.14.0 (Beta):
We welcome contributions and developers to join us in building this project.
🎥 Demo
📋 Table of Contents
Alternatives
MarkItDown converts various file formats to Markdown for use with LLMs.
The TypeScript SDK implements the Model Context Protocol for LLM context provisi
Python SDK for building servers and clients that implement the Model Context Pro