Find all subclasses of a given class recursively to assess impact of interface changes. Handles multi-level inheritance and resolves ambiguous class names with file path.
Submit multiple queries for asynchronous batch processing with approximately 50% cost discount. Queries run within 24 hours; results are retrieved after completion.
Submit a single independent question to Gemini without maintaining session history. Suitable for one-off lookups or batch queries where context is unnecessary.
Exposes GDAL/Rasterio operations to AI agents with a reflection middleware that requires structured justification before executing operations whose methodology matters.
An MCP server providing geospatial analysis tools for raster and vector data, integrated with a reflection system that requires AI agents to justify their methodological decisions. It enables accurate mapping and spatial operations by ensuring reasoned choices for coordinate systems, resampling, and data transformations.
Analyze a codebase by asking questions. Gemini autonomously reads files, lists directories, and searches code to provide answers, eliminating the need to pre-read files.
List all layers in a spatial data source including FileGDB, Shapefile, GeoJSON, and more. Returns layer name, geometry type, feature count, and CRS for each.