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.
Aucun avis encore. Soyez le premier à donner votre avis !
Connectez-vous pour rejoindre la conversation
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
