Best Maps, Location & Weather MCP Servers in 2026

Maps, location, and weather MCP servers ground an AI agent in physical space and time — geocoding addresses, computing routes, looking up points of interest, returning the current or forecast conditions for a place, and answering the question an LLM cannot answer on its own: what time is it, and what is that in another timezone. The best MCP servers for this category cover the dominant commercial providers (Google Maps for mapping, OpenWeatherMap for weather) plus the official, no-key Time server for current time and IANA timezone conversion. Together they supply the geocode-route-forecast-and-clock loop most travel-and-logistics agents need.

Choose by precision and licensing. Google Maps gives the highest fidelity but charges per call and forbids certain offline cases — scope the API key to the surface that needs it. OpenWeatherMap is a strong default for current conditions and short-range forecasts and exposes a generous free tier for prototyping. For time, the official Time MCP (uvx mcp-server-time) needs no key and runs locally — install it for any agent that schedules across zones or reasons about "now," because models reliably get DST and offset math wrong. Lock the agent to one provider per concern and stick with it — mixing two map providers in the same agent invites coordinate-system bugs and licensing-attribution mistakes.

Common mistakes: confusing latitude/longitude order across APIs, forgetting that geocoding is approximate (always store the formatted address with the coordinates), letting the model do timezone arithmetic instead of calling a Time tool (it will miss daylight-saving boundaries), and skipping rate-limit handling — maps APIs throttle hard and agents that retry aggressively burn through daily quotas in minutes. Each MCP below documents auth, pricing, and unit conventions. Start with a single, well-scoped use case (one route, one forecast, one timezone conversion) before letting the agent loop.