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.
World geographic data for AI agents. 261 countries with 20+ statistics and 13.4M cities with population, coordinates, and timezone. Powered by Bamwor API.