Exposes Mireye Earth's geospatial data API as MCP tools (mireye_ask and mireye_fetch) for querying location-based information like elevation, flood zones, and wildfire risk for US places.
Enables querying soil data, planning and executing Earth Engine processing recipes, monitoring tasks, and answering questions about results without downloading national maps.
An MCP server that enables AI assistants to look up solar permitting authorities, estimate solar production via PVWatts, and retrieve irradiance data. It streamlines the creation of solar-aware workflows by integrating industry-standard APIs like NREL.
An MCP server that lets an AI agent run satellite land due-diligence through LandBenchmark. Its analyze_parcel tool takes a lat/lon or GeoJSON geometry and returns a green / caution / walk-away verdict with cited signals — flooding, slope, wildfire, road access, and more — for any parcel.