MCP Weather SSE Server

The MCP Weather SSE Server is a lightweight, real‑time weather data provider that plugs directly into AI assistants through the Model Context Protocol. By leveraging Server‑Sent Events (SSE), it pushes continuous updates from OpenWeatherMap to connected clients, eliminating the need for polling and ensuring that agents always receive the freshest weather information. This is particularly valuable in conversational contexts where a user might ask for “current conditions” or a “3‑day forecast” and expect an immediate, accurate response.

At its core, the server exposes three intuitive tools that mirror common weather queries: , , and . Each tool accepts straightforward parameters—city names, coordinate pairs, or optional units—and returns structured JSON that an AI can ingest without additional parsing. The use of SSE means that once a client subscribes, any subsequent changes in the underlying data (e.g., a sudden temperature drop) can be streamed back automatically, enabling dynamic updates in the assistant’s output or triggering follow‑up actions.

Developers benefit from the server’s seamless integration with popular MCP clients such as Claude Desktop, Cursor AI, and MCP‑Inspector. Adding the server is a matter of specifying its type () and endpoint URL, after which the AI can invoke the weather tools as part of its reasoning pipeline. This eliminates manual API key handling or custom HTTP wrappers, allowing assistants to focus on higher‑level tasks like itinerary planning, emergency response coordination, or real‑time navigation assistance.

Real‑world use cases abound: a travel planner assistant can provide up‑to‑date weather forecasts for destinations on the fly; a logistics bot can adjust delivery routes based on sudden storms; or a smart home controller could trigger heating adjustments when the forecast predicts a cold snap. Because the server is configurable to run locally or on a private network, it also satisfies strict data‑privacy requirements that many enterprises impose.

What sets this MCP server apart is its combination of simplicity, immediacy, and compliance. The default localhost binding protects against accidental exposure, while the SSE transport delivers low‑latency updates that would otherwise require frequent polling. By abstracting away the intricacies of OpenWeatherMap’s API and the SSE protocol, it lets developers embed real‑time weather intelligence into AI workflows with minimal friction.