Enables AI assistants to search and access geospatial datasets through STAC (SpatioTemporal Asset Catalog) APIs. Supports querying satellite imagery, weather data, and other geospatial assets with spatial, temporal, and attribute filters.
Provides access to the OpenLandMap STAC catalog, offering over 100 global environmental datasets including soil, climate, and vegetation data. It enables AI agents to discover, search, and retrieve Cloud-Optimized GeoTIFFs for global geospatial analysis.
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.
A Model Context Protocol server that connects LLMs to GIS operations, enabling AI assistants to perform accurate geospatial analysis including geometric operations, coordinate transformations, and spatial measurements.
A production-grade MCP server for querying U.S. Census Bureau data (ACS 5-Year and Decennial) with tools for geographic fuzzy matching, variable search, and batched data retrieval, backed by a PostgreSQL cache for performance.
MCP server exposing Italian open data (municipalities, provinces, regions, postal codes, coordinates, geographic data) through simple, developer-friendly tools.
MCP server that wraps Kartverket's open APIs for Norwegian geographic data including place names, addresses, elevation, municipalities, properties, statistical districts, and building points. Requires no authentication.
Free remote MCP server for GIS/ArcGIS Online automation —
coordinate/EPSG conversion, GeoJSON validation and geometry
operations, ArcGIS FeatureServer inspection (feature count/query,
schema, health check), and Shapefile/KML/GPX/WKT format
conversion. Works with public ArcGIS layers without a token;
