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.
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.
AI-powered 3D globe control via MCP. Connect any MCP-compatible AI agent to CesiumJS — camera flight, GeoJSON/3D Tiles layers, markers, spatial analysis, heatmaps, and more through 19 natural language tools.