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.
Go-based MCP server for Pumperly fuel price comparison. Query gas station prices, plan fuel-efficient routes, and find nearby EV charging stations. Docker image available.