mahdin75/gis-mcp

GIS-MCP is an open-source Model Context Protocol (MCP) server that connects AI assistants and Large Language Models (LLMs) with GIS and geospatial operations.
It enables AI agents to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and other GIS workflows through MCP-compatible clients.
🌐 **Official Documentation:** https://gis-mcp.com
📦 **PyPI:** https://pypi.org/project/gis-mcp/
💻 **Source Code:** https://github.com/mahdin75/gis-mcp
> **92+ GIS tools** across Shapely, GeoPandas, PyProj, Rasterio, PySAL, visualization, satellite imagery, climate, ecology, movement, and land-cover data.
| Category | Badges |
| ---------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **Package** | |
| **Installation & Transport** | |
| **Storage** | |
| **Data Sources** | |
| **Agentic AI** | |
| **Community** | |
✨ Want to perform accurate geospatial analysis in your chatbot? ✨
Install GIS-MCP and transform your AI's spatial capabilities!
> Current version is 0.15.0 (Beta):
>
> We welcome contributions and developers to join us in building this project.
🎥 Demo
📋 Table of Contents
- Features
- Storage
- Prerequisites
- Vibe Coding
- Installation
- Docker Installation
- pip Installation
- Development Installation
- Build Your First GIS AI Agent
- Available Functions
- Shapely Functions
- PyProj Functions
- GeoPandas Functions
- Rasterio Functions
- PySAL Functions
- Visualization Functions
- Static Map Functions
- Interactive Web Map Functions
- Administrative Boundaries Functions
- Climate Data Functions
- Ecology Data Functions
- Movement Data Functions
- Land Cover Data Functions
- Satellite Imagery Functions
- Client Development
- Planned Features
- Contributing
- License
- Related Projects
- Support
- Badges
🚀 Features
GIS MCP Server empowers AI assistants with advanced geospatial intelligence. Key features include:
- 🔹 **Comprehensive Geometry Operations** – Perform intersection, union, buffer, difference, and other geometric transformations with ease.
- 🔹 **Advanced Coordinate Transformations** – Effortlessly reproject and transform geometries between coordinate reference systems.
- 🔹 **Accurate Measurements** – Compute distances, areas, lengths, and centroids precisely.
- 🔹 **Spatial Analysis & Validation** – Validate geometries, run proximity checks, and perform spatial overlays or joins.
- 🔹 **Raster & Vector Support** – Process raster layers, compute indices like NDVI, clip, resample, and merge with vector data.
- 🔹 **Spatial Statistics & Modeling** – Leverage PySAL for spatial autocorrelation, clustering, and neighborhood analysis.
- 🔹 **Easy Integration** – Connect seamlessly with MCP-compatible clients like Claude Desktop or Cursor IDE.
- 🔹 **HTTP/SSE Transport** – Run as HTTP service with RESTful storage endpoints for file upload/download operations.
- 🔹 **Flexible Storage** – Local filesystem by default, or Google Cloud Storage when you want files in a GCS bucket.
- 🔹 **Flexible & Extensible** – Supports Python-based GIS libraries and is ready for custom tools or workflow extensions.
> 🌟 **Tip:** With GIS MCP Server, your AI can now “think spatially,” unlocking new capabilities for environmental analysis, mapping, and location intelligence.
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💾 Storage
GIS MCP Server supports two storage backends for file upload, download, and tool outputs:
| Backend | When to use | Configure with |
| ------- | ----------- | -------------- |
| **Local filesystem** | Default; files on disk (including Docker volumes) | --storage-path or GIS_MCP_STORAGE_PATH |