Content
# QGISMCP - QGIS Model Context Protocol Integration
QGISMCP connects [QGIS](https://qgis.org/) to [Claude AI](https://claude.ai/chat) through the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/docs/getting-started/intro), 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](https://github.com/ahujasid/blender-mcp/tree/main) project by [Siddharth Ahuja](https://x.com/sidahuj)
## 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](https://docs.qgis.org/3.40/en/docs/user_manual/processing/toolbox.html)).
- **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](/qgis_mcp_plugin/)**: A QGIS plugin that creates a socket server within QGIS to receive and execute commands.
2. **[MCP Server](/src/qgis_mcp/qgis_mcp_server.py)**: 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
```bash
brew install uv
```
On Windows Powershell
```bash
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
```
Otherwise installation instructions are on their website: [Install uv](https://docs.astral.sh/uv/getting-started/installation/)
**⚠️ Do not proceed before installing UV**
### Download code
Download this repo to your computer. You can clone it with:
```bash
git clone git@github.com:jjsantos01/qgis_mcp.git
```
### QGIS plugin
You need to copy the folder [qgis_mcp_plugin](/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](https://modelcontextprotocol.io/quickstart/user#2-add-the-filesystem-mcp-server).
```json
{
"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](https://x.com/jjsantoso/status/1900293848271667395):
```plain
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.
```
Connection Info
You Might Also Like
MarkItDown MCP
MarkItDown-MCP is a lightweight server for converting various URIs to Markdown.
Context 7
Context7 MCP provides up-to-date code documentation for any prompt.

Continue
Continue is an open-source project for seamless server management.
semantic-kernel
Build and deploy intelligent AI agents with the Semantic Kernel framework.
Github
GitHub MCP Server connects AI tools to manage repositories, issues, and workflows.
Playwright
A lightweight MCP server for browser automation using Playwright, enabling...