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Manage GeoServer REST API tasks and spatial service configuration with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "GeoServer MCP Server" yet — see the docs or source repo.
Using the GeoServer MCP, create a workspace named citymaps and add a PostGIS data store. Return the steps performed and the result.
A result showing the workspace and data store creation status, key parameters, and any error details.
Publish the roads table from the data store as a layer named city_roads, and describe the available service types after publishing.
A response confirming layer publication and listing related access details, such as available WMS or WFS services.
Check the current style bound to the city_roads layer. If no default style exists, create a basic line style and set it as the default.
A summary of the current style inspection and the resulting style creation or update configuration.
Control dynamic maps and layers to visualize geospatial data in AI workflows.
Call tools like weather lookup via MCP with reusable resources and prompts.
Discover imagery, manage orders, and run geospatial analytics on Geopera.
Integrate Google Search into AI apps for real-time web retrieval.
Let AI control QGIS for spatial analysis, styling, and map export.
Use MCP tools to analyze GitHub repos, calculate, check weather/time, and run commands.