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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:
- 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.
Installation
Prerequisites
- 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: Install uv
⚠️ Do not proceed before installing UV
Download code
Download this repo to your computer. You can clone it with:
git clone [email protected]:jjsantos01/qgis_mcp.git
QGIS 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 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"
]
}
}
}
Usage
Starting the Connection
- In QGIS, go to
plugins
->QGIS MCP
->QGIS MCP
- 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 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
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.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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