Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Geospatial tools for AI agents: geocoding, routing, elevation, spatial analysis, and file I/O (Shapefile, GeoJSON, GeoPackage)
Earth memory MCP server that gives AI agents signed geospatial facts and cite-able receipts for place-based questions. Covers elevation, land cover, surface water, vegetation, and built-up context. Public endpoint at https://emem.dev/mcp.