QGIS
Summary
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.
Available Actions(15)
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.
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