An MCP server for Earth Observation processing, exposing Rust-accelerated EO computation tools like spectral indices, change detection, and classification for AI agents.
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.
Enables MCP clients to access Google Earth Engine's satellite imagery and geospatial analysis capabilities. Provides tools for vegetation analysis, crop classification, disaster monitoring, and interactive map creation using petabytes of satellite data.
Enables AI assistants to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and access to climate, satellite, and other geospatial data through MCP-compatible clients.
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 accessing SPEAR model output from various sources (AWS, STAC API, local) and integrating with AI assistants like Claude Desktop or a SPEAR Climate Chatbot.