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Manage GeoServer workspaces, datastores, layers, and styles with natural language.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.ronitjadhav/geoservercloud-mcp" MCP server from askskill: Run: claude mcp add 'io-github-ronitjadhav-geoservercloud-mcp' -- npx -y geoservercloud-mcp
Create a workspace named city-map in GeoServer, then add a PostGIS datastore called city-db using the connection details I provide.
Returns the created workspace and datastore results, including success status or any configuration errors.
Publish the roads table from the city-db datastore as a GeoServer layer named roads_layer, and report the result.
Returns the layer publishing status, plus the layer name, data source, and availability details.
Assign the style named road-style to roads_layer; if the style does not exist, tell me to create it first.
Returns the style assignment result, or explains that the style is missing and what to do next.
Query cloud geospatial data at scale with zero-setup SQL access.
Control dynamic maps and layers to visualize geospatial data in AI workflows.
Connect to the Geomelon geographic API through MCP for location data access.
Access geospatial data tools over HTTP for integrated querying and analysis.
Render GeoJSON layers into high-quality basemapped map images.
Discover imagery, manage orders, and run geospatial analytics on Geopera.