What is Gis Mcp

gis-mcp is a Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to Geographic Information System (GIS) operations using libraries like Shapely and PyProj. It enables AI assistants to perform geospatial operations and transformations effectively.

Use cases

Use cases for gis-mcp include enhancing chatbots with geospatial analysis capabilities, performing complex spatial queries in applications, and transforming geographic data for better decision-making.

How to use

To use gis-mcp, install it via pip and integrate it with your AI chatbot or application. Utilize the provided tools for geometric operations and coordinate transformations as needed.

Key features

Key features of gis-mcp include comprehensive geometric operations (such as intersection and union), advanced coordinate transformations, precise distance and area calculations, and support for various GIS libraries.

Where to use

gis-mcp can be used in fields such as urban planning, environmental monitoring, logistics, and any application requiring geospatial data analysis and manipulation.

GIS MCP Server

✨ 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.

Alpha

Version 0.3.0 (Alpha) is under active development. We welcome contributions and developers to join us in building this project.

🎥 Demo

Rasterio Demo

📋 Table of Contents

• Features
• Prerequisites
• Installation
  • pip Installation
  • Development Installation
• Available Tools
  • Shapely Operations
    • Basic Operations
    • Geometric Properties
    • Transformations
    • Advanced Operations
    • Measurements
    • Validation and Simplification
  • PyProj Operations
    • Coordinate Transformations
    • CRS Information
    • Geodetic Calculations
  • Geopandas Operations
    • I/O Operations
    • Join Operations
  • Rasterio Operations
    • Basic Raster Operations
    • Raster Processing
    • Raster Analysis
• Client Development
• Planned Features
• Contributing
• License
• Related Projects
• Support
• Badges

🚀 Features

• 🔍 Comprehensive geometric operations (intersection, union, buffer, etc.)
• 🌐 Advanced coordinate transformations and projections
• 📏 Precise distance and area calculations
• 🗺️ Spatial analysis and validation
• 🛠️ Easy integration with MCP-compatible clients

📋 Prerequisites

• Python 3.10 or higher
• MCP-compatible client (like Claude Desktop or Cursor)
• Internet connection for package installation

🛠️ Installation

Choose the installation method that best suits your needs:

Installing via Smithery

To install GIS MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @mahdin75/gis-mcp --client claude

📦 pip Installation

The pip installation is recommended for most users:

1. Install uv package manager:

pip install uv

2. Create the Virtual Environment (Python 3.10+):

uv venv --python=3.10

3. Install the package:

uv pip install gis-mcp

4. Start the server:

gis-mcp

pip Configuration

To use the pip installation with Claude or Cursor, add the following configuration:

Claude Desktop:

Windows:

{
  "mcpServers": {
    "gis-mcp": {
      "command": "C:\\Users\\YourUsername\\.venv\\Scripts\\gis-mcp",
      "args": []
    }
  }
}

Linux/Mac:

{
  "mcpServers": {
    "gis-mcp": {
      "command": "/home/YourUsername/.venv/bin/gis-mcp",
      "args": []
    }
  }
}

Cursor IDE (create .cursor/mcp.json):

Windows:

{
  "mcpServers": {
    "gis-mcp": {
      "command": "C:\\Users\\YourUsername\\.venv\\Scripts\\gis-mcp",
      "args": []
    }
  }
}

Linux/Mac:

{
  "mcpServers": {
    "gis-mcp": {
      "command": "/home/YourUsername/.venv/bin/gis-mcp",
      "args": []
    }
  }
}

After configuration:

1. Make sure to replace YourUsername with your actual username
2. For development installation, replace /path/to/gis-mcp with the actual path to your project
3. Restart your IDE to apply the changes
4. You can now use all GIS operations through Claude or Cursor!

🛠️ Development Installation

For contributors and developers:

1. Install uv package manager:

pip install uv

2. Create the Virtual Environment:

uv venv --python=3.10

3. Install the package in development mode:

uv pip install -e .

4. Start the server:

python -m gis_mcp

Development Configuration

To use the development installation with Claude or Cursor, add the following configuration:

Claude Desktop:

Windows:

{
  "mcpServers": {
    "gis-mcp": {
      "command": "C:\\path\\to\\gis-mcp\\.venv\\Scripts\\python",
      "args": [
        "-m",
        "gis_mcp"
      ]
    }
  }
}

Linux/Mac:

{
  "mcpServers": {
    "gis-mcp": {
      "command": "/path/to/gis-mcp/.venv/bin/python",
      "args": [
        "-m",
        "gis_mcp"
      ]
    }
  }
}

Cursor IDE (create .cursor/mcp.json):

Windows:

{
  "mcpServers": {
    "gis-mcp": {
      "command": "C:\\path\\to\\gis-mcp\\.venv\\Scripts\\python",
      "args": [
        "-m",
        "gis_mcp"
      ]
    }
  }
}

Linux/Mac:

{
  "mcpServers": {
    "gis-mcp": {
      "command": "/path/to/gis-mcp/.venv/bin/python",
      "args": [
        "-m",
        "gis_mcp"
      ]
    }
  }
}

After configuration:

1. Make sure to replace YourUsername with your actual username
2. For development installation, replace /path/to/gis-mcp with the actual path to your project
3. Restart your IDE to apply the changes
4. You can now use all GIS operations through Claude or Cursor!

🛠️ Available Tools

Shapely Operations

Basic Operations

Geometric Properties

Transformations

Advanced Operations

Measurements

Validation and Simplification

PyProj Operations

Coordinate Transformations

CRS Information

Geodetic Calculations

GeoPandas Operations

I/O Operations

Join Operations

Rasterio Operations

Basic Raster Operations

Raster Processing

Raster Analysis

🛠️ Client Development

Example usage of the tools:

Buffer Operation

Tool: buffer
Parameters: {
    "geometry": "POINT(0 0)",
    "distance": 10,
    "resolution": 16,
    "join_style": 1,
    "mitre_limit": 5.0,
    "single_sided": false
}

Coordinate Transformation

Tool: transform_coordinates
Parameters: {
    "coordinates": [0, 0],
    "source_crs": "EPSG:4326",
    "target_crs": "EPSG:3857"
}

Geodetic Distance

Tool: calculate_geodetic_distance
Parameters: {
    "point1": [0, 0],
    "point2": [10, 10],
    "ellps": "WGS84"
}

🔮 Planned Features

• Add support for more GIS libraries - GDAL/OGR
• Implement advanced spatial indexing
• Add support for raster operations
• Implement network analysis capabilities
• Add support for 3D geometries
• Implement performance optimizations

🤝 Contributing

We welcome contributions! Here’s how you can help:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Please ensure your PR description clearly describes the problem and solution. Include the relevant issue number if applicable.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Related Projects

• Model Context Protocol - The core MCP implementation
• Shapely - Python package for manipulation and analysis of geometric objects
• PyProj - Python interface to PROJ library
• GeoPandas - Python package for working with geospatial data
• Rasterio - Python package for reading and writing geospatial raster data

📞 Support

For support, please open an issue in the GitHub repository.

💬 Community

Join our Discord community for discussions, updates, and support:

👥 Contributors

Made with contrib.rocks.

🏆 Badges