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.
A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform accurate geospatial operations and transformations.
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.