An MCP server for Earth Observation processing, exposing Rust-accelerated EO computation tools like spectral indices, change detection, and classification for AI agents.
A Python MCP server that provides unified access to satellite and geospatial data through natural language queries, with automatic place name geocoding and support for raster, vector, and Zarr formats.
MCP server for interacting with Google Earth Engine, enabling geospatial analysis such as dataset visualization, statistics computation, and search via AI assistants.
An MCP server that connects AI agents to cloud-native geospatial data via STAC metadata and DuckDB with H3 spatial indexing, enabling zero-configuration SQL queries on terabyte-scale datasets over S3.
MCP server for the Geopera geospatial data platform that enables AI agents to discover imagery, place and manage orders, and run analytics using the same API as other Geopera clients.
Production-grade MCP server wrapping SkyFi's satellite imagery platform API. Enables AI agents to conversationally search, price, order, and monitor satellite imagery through the Model Context Protocol.