An integration tool connecting QGIS Desktop with Claude AI via the Model Context Protocol (MCP)

QGIS MCP Project Details

Project Overview

QGIS MCP is an innovative integrated tool that connects QGIS Desktop with Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS. This project enables users to operate complex GIS functions through natural language prompts.

Core Features

Bidirectional Communication

• Connects Claude AI and QGIS via a socket-based server.
• Enables real-time data exchange between AI and GIS software.
• Supports command execution and status feedback.

Project Management

• Creates, loads, and saves projects in QGIS.
• AI-assisted project creation and configuration.
• Automates project workflows.

Layer Operations

• Adds and removes vector or raster layers to the project.
• Intelligent layer management and styling.
• Supports various geospatial data formats.

Processing Algorithm Execution

• Executes processing algorithms (Processing Toolbox).
• Performs complex GIS operations, such as adding layers, executing processing algorithms, and rendering maps.
• Automates geospatial analysis workflows.

Installation and Configuration

System Requirements

• QGIS Desktop
• Python environment
• Claude AI access

Installation Steps

1. Download the project

git clone https://github.com/jjsantos01/qgis_mcp.git

2. Install the QGIS plugin The qgis_mcp_plugin folder and its contents need to be copied to the QGIS configuration file plugin folder.

Plugin path:

• Windows: C:\Users\USER\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins
• macOS: ~/Library/Application Support/QGIS/QGIS3/profiles\default\python\plugins

3. Set up the MCP server Configure the MCP server connection parameters and start the service.

Use Cases

AI-Assisted Map Creation

• Creates maps through natural language descriptions.
• Automates layer styling and layout design.
• Provides intelligent data visualization suggestions.

Automated Geoprocessing

• Batch processing of geospatial data.
• Automated execution of complex spatial analysis.
• Intelligent optimization of workflows.

Education and Training

• Lowers the barrier to entry for GIS learning.
• Provides interactive GIS teaching.
• Supports experimentation and prototype development.

Technical Advantages

Intelligent Operation

• Simplifies complex GIS operations into natural language interactions.
• AI understands and executes geospatial tasks.
• Reduces the complexity of manual operations.

High Integration

• Seamlessly connects to existing QGIS workflows.
• Maintains the integrity of QGIS's original functions.
• Extends rather than replaces traditional GIS operations.

Open Standards

• Based on the open MCP protocol.
• Supports extension and custom development.
• Compatible with other AI tools.

Summary

The QGIS MCP project represents a significant breakthrough in the integration of GIS technology and artificial intelligence, making geographic information systems more intelligent and user-friendly through a natural language interface. It not only lowers the barrier to entry for GIS technology but also provides a new interactive way for geospatial data analysis and visualization. With the continuous development of AI technology, such tools will play an increasingly important role in geographic information science, urban planning, environmental monitoring, and other fields.