kicker315 deepseek qgis mcp

WHAT IT CONNECTS

What kicker315 deepseek qgis mcp gives an AI Agent

• **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.
• **[QGIS plugin](/qgis_mcp_plugin/)**: A QGIS plugin that creates a socket server within QGIS to receive and execute commands.
• **[MCP Server](/src/qgis_mcp/qgis_mcp_server.py)**: 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:
• In QGIS, go to `plugins` -> `QGIS MCP`-> `QGIS MCP`
• Click "Start Server"
• `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
• Ping to check the connection. If it works, continue with the following steps.
• Create a new project and save it at: "C:/Users/USER/GitHub/qgis_mcp/data/cdmx.qgz"
• Load the vector layer: ""C:/Users/USER/GitHub/qgis_mcp/data/cdmx/mgpc_2019.shp" and name it "Colonias".
• Load the raster layer: "C:/Users/USER/GitHub/qgis_mcp/data/09014.tif" and name it "BJ"
• Zoom to the "BJ" layer.
• Execute the centroid algorithm on the "Colonias" layer. Skip the geometry check. Save the output to "colonias_centroids.geojson".
• 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.
• Render the map to "C:/Users/USER/GitHub/qgis_mcp/data/cdmx.png"
• Save the project.