QGIS MCP provides a bridge between AI assistants and QGIS (Quantum GIS) through a socket-based server-client architecture. The implementation consists of a QGIS plugin that runs a server inside the GIS application, exposing geospatial capabilities like adding layers, executing processing algorithms, and rendering maps, while an MCP server component translates these capabilities into tools that can be called by AI assistants. This enables AI systems to perform complex GIS operations such as loading projects, manipulating vector and raster data, and generating map visualizations without requiring direct QGIS knowledge.
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Highlight AISimple ping command to check server connectivity.
Get QGIS information about the current installation.
Load a QGIS project from the specified path.
Create a new project and save it.
Get current project information.
Add a vector layer to the project.
Add a raster layer to the project.
Retrieve all layers in the current project.
Remove a layer from the project by its ID.
Zoom to the extent of a specified layer.
Retrieve features from a vector layer with an optional limit.
Execute a processing algorithm with the given parameters.
Save the current project to the given path.
Render the current map view to an image file.
Execute arbitrary PyQGIS code provided as a string.
