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Inspect, query, and convert geospatial data with DuckDB Spatial tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "geolibre-mcp" yet — see the docs or source repo.
Use geolibre-mcp to inspect this GeoJSON or Shapefile. List layers, fields, geometry types, coordinate reference systems, record counts, and any obvious data quality issues.
A summary of dataset structure, spatial metadata, and potential data quality issues.
Use geolibre-mcp to query this geospatial dataset, find features intersecting the specified area, count them by category, and return a readable summary.
Spatial query results, category counts, and a concise analytical summary.
Use geolibre-mcp to convert this geospatial file into the target format, such as GeoJSON, CSV, or Parquet, while preserving key fields and geometry information. Also describe the resulting schema.
A description of the converted output, including preserved fields and geometry details.
Query cloud geospatial data at scale with zero-setup SQL access.
Read, inspect, analyze vector geospatial data, and render interactive maps.
Connect to the Geomelon geographic API through MCP for location data access.
Discover imagery, manage orders, and run geospatial analytics on Geopera.
Let AI safely query and manage DuckDB databases through MCP tools.
Inspect, validate, and summarize GeoJSON files to catch structure and data issues.