qgis_mcp
Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop Python-based implementation. Trusted by 600+ developers.
Documentation
QGISMCP - QGIS Model Context Protocol Integration
QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS. This integration enables prompt assisted project creation, layer loading, code execution and more.
This project is strongly based on the BlenderMCP project by Siddharth Ahuja
Features
- Two-way communication: Connect Claude AI to QGIS through a socket-based server.
- Project manipulation: Create, load and save projects in QGIS.
- Layer manipulation: Add and remove vector or raster layers to a project.
- Execute processing: Execute processing algorithms (Processing Toolbox).
- Code execution: Run arbitrary Python code in QGIS from Claude. Very powerful, but also be very cautious using this tool.
Components
The system consists of two main components:
1. **QGIS plugin**: A QGIS plugin that creates a socket server within QGIS to receive and execute commands.
2. **MCP Server**: A Python server that implements the Model Context Protocol and connects to the QGIS plugin.
Installation
Prerequisites
- QGIS 3.X (only tested on 3.22)
- Claude desktop
- Python 3.10 or newer
- uv package manager:
If you're on Mac, please install uv as
brew install uvOn Windows Powershell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"Otherwise installation instructions are on their website: Install uv
⚠️ Do not proceed before installing UV
Download code
Download this repo to your computer. You can clone it with:
git clone git@github.com:jjsantos01/qgis_mcp.gitQGIS plugin
You need to copy the folder qgis_mcp_plugin and its content on your QGIS profile plugins folder.
You can get your profile folder in QGIS going to menu `Settings` -> `User profiles` -> `Open active profile folder` Then, go to `Python/plugins` and paste the folder `qgis_mcp_plugin`.
> On a Windows machine the plugins folder is usually located at: `C:\Users\USER\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins`
and on MacOS: `~/Library/Application\ Support/QGIS/QGIS3/profiles/default/python/plugins`
Then close QGIS and open it again. Go to the menu option `Plugins` > `Installing and Managing Plugins`, select the `All` tab and search for "QGIS MCP", then mark the QGIS MCP checkbox.
Claude for Desktop Integration
Go to `Claude` > `Settings` > `Developer` > `Edit Config` > `claude_desktop_config.json` to include the following:
> If you can't find the "Developers tab" or the `claude_desktop_config.json` look at this documentation.
{
"mcpServers": {
"qgis": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/REPO/FOLDER/qgis_mcp/src/qgis_mcp",
"run",
"qgis_mcp_server.py"
]
}
}
}Usage
Starting the Connection
1. In QGIS, go to `plugins` > `QGIS MCP` > `QGIS MCP`

2. Click "Start Server"

Using with Claude
Once the config file has been set on Claude, and the server is running on QGIS, you will see a hammer icon with tools for the QGIS MCP.

Tools
- `ping` - Simple ping command to check server connectivity
- `get_qgis_info` - Get QGIS information about the current installation
- `load_project` - Load a QGIS project from the specified path
- `create_new_project` - Create a new project and save it
- `get_project_info` - Get current project information
- `add_vector_layer` - Add a vector layer to the project
- `add_raster_layer` - Add a raster layer to the project
- `get_layers` - Retrieve all layers in the current project
- `remove_layer` - Remove a layer from the project by its ID
- `zoom_to_layer` - Zoom to the extent of a specified layer
- `get_layer_features` - Retrieve features from a vector layer with an optional limit
- `execute_processing` - Execute a processing algorithm with the given parameters
- `save_project` - Save the current project to the given path
- `render_map` - Render the current map view to an image file
- `execute_code` - Execute arbitrary PyQGIS code provided as a string
Example Commands
This is the example I used for the demo:
You have access to the tools to work with QGIS. You will do the following:
1. Ping to check the connection. If it works, continue with the following steps.
2. Create a new project and save it at: "C:/Users/USER/GitHub/qgis_mcp/data/cdmx.qgz"
3. Load the vector layer: ""C:/Users/USER/GitHub/qgis_mcp/data/cdmx/mgpc_2019.shp" and name it "Colonias".
4. Load the raster layer: "C:/Users/USER/GitHub/qgis_mcp/data/09014.tif" and name it "BJ"
5. Zoom to the "BJ" layer.
6. Execute the centroid algorithm on the "Colonias" layer. Skip the geometry check. Save the output to "colonias_centroids.geojson".
7. Execute code to create a choropleth map using the "POB2010" field in the "Colonias" layer. Use the quantile classification method with 5 classes and the Spectral color ramp.
8. Render the map to "C:/Users/USER/GitHub/qgis_mcp/data/cdmx.png"
9. Save the project.Frequently asked questions
What is qgis_mcp?
qgis_mcp is Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop Python-based implementation. Trusted by 600+ developers.
How do I install qgis_mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is qgis_mcp open source?
Yes — it is hosted on GitHub at https://github.com/jjsantos01/qgis_mcp and has 686 stars.
Related MCP tools
Constrain, log and scan your MCP connections for security vulnerabilities. Python-based implementation. Trusted by 1200+ developers.
An MCP server that autonomously evaluates web applications. Python-based implementation. Trusted by 1100+ developers. Trusted by 1100+ developers.
An official Qdrant Model Context Protocol (MCP) server implementation Python-based implementation. Trusted by 1000+ developers.
On-premises conversational RAG with configurable containers for the Model Context Protocol. Enhance AI assistants with powerful integrations.
A middleware to provide an openAI compatible endpoint that can call MCP tools Python-based implementation. Trusted by 800+ developers.
Connect AI models like Claude & GPT with robots using MCP and ROS. Python-based implementation. Trusted by 800+ developers.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP