QGISMCP connects
This project is strongly based on the BlenderMCP project by
- 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.
The system consists of two main components:
- QGIS plugin: A QGIS plugin that creates a socket server within QGIS to receive and execute commands.
- MCP Server: A Python server that implements the Model Context Protocol and connects to the QGIS plugin.
- QGIS 3.X (only tested on 3.22)
- Cloud desktop
- Python 3.10 or newer
- uv package manager:
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:
⚠️ 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 thisdocumentation.
{
"mcpServers": {
"qgis": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/REPO/FOLDER/qgis_mcp/src/qgis_mcp",
"run",
"qgis_mcp_server.py"
]
}
}
}
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 string
This is the example I used for the
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.