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Analyze H3 spatial data for pricing, indicators, geometry, and concordance.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "com.htagai/htag-spatial" MCP server from askskill: Run: claude mcp add --transport http 'com-htagai-htag-spatial' 'https://api.htagai.com/mcp/v1/servers/htag-spatial/mcp'
Use this tool to aggregate neighborhood rent data by H3 cells and identify high-rent hotspots.
A grid-based rent distribution, hotspot list, and brief conclusions.
Compare two cities across H3 levels for population density, housing prices, and commute indicators.
A multi-level indicator comparison table with a difference summary.
Convert these administrative boundary geometries into H3 cells and generate a concordance to the original مناطق.
Geometry conversion results, H3 cell list, and concordance mapping.
Run and manage H agents directly from any MCP client.
Retrieve, parse, and synthesize document knowledge through an agentic RAG workflow.
Query India's open geospatial data with location, filtering, and nearby search.
Search HathiTrust bibliographic records and retrieve library metadata.
Convert coordinates and Geohash values for geospatial lookup and data workflows.
Generate validated 3D truck and container load plans with packing metrics.