connects QGIS Desktop to Claude AI through the MCP. This integration enables prompt-assisted project creation, layer loading, code execution, and more.
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
The system consists of two main components:
If you're on Mac, please install uv as
brew install uv
On 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 this repo to your computer. You can clone it with:
git clone git@github.com:jjsantos01/qgis_mcp.git
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.
Go to Claude
> Settings
> Developer
> Edit Config
> claude_desktop_config.json
to include the following:
If you cann'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"
]
}
}
}
plugins
-> QGIS MCP
-> QGIS MCP
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.
ping
- Simple ping command to check server connectivityget_qgis_info
- Get QGIS information about the current installationload_project
- Load a QGIS project from the specified pathcreate_new_project
- Create a new project and save itget_project_info
- Get current project informationadd_vector_layer
- Add a vector layer to the projectadd_raster_layer
- Add a raster layer to the projectget_layers
- Retrieve all layers in the current projectremove_layer
- Remove a layer from the project by its IDzoom_to_layer
- Zoom to the extent of a specified layerget_layer_features
- Retrieve features from a vector layer with an optional limitexecute_processing
- Execute a processing algorithm with the given parameterssave_project
- Save the current project to the given pathrender_map
- Render the current map view to an image fileexecute_code
- Execute arbitrary PyQGIS code provided as a stringThis 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.
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