Weather MCP Server

The Weather MCP Server is a lightweight C# service that exposes real‑time weather data through the Model Context Protocol. By wrapping the National Weather Service (NWS) API, it allows AI assistants to query weather conditions and alerts without leaving the conversational context. This solves a common pain point for developers building AI‑powered applications: integrating external weather data in a secure, consistent, and language‑agnostic way.

The server offers two core tools. GetForecast retrieves a detailed forecast for any U.S. location based on latitude and longitude, returning temperature ranges, precipitation probability, wind speed, and other meteorological metrics. GetAlerts pulls active weather alerts for a specified state via its two‑letter code, delivering concise information about severe storms, floods, or other hazards. These tools are designed to be invoked directly by an MCP client such as Claude for Desktop, making the data instantly available within a user’s dialogue.

Key capabilities include:

• Seamless API abstraction: The server translates simple tool calls into NWS REST requests, handling authentication, rate limiting, and error parsing behind the scenes.
• Location flexibility: Latitude/longitude input lets developers target any point on the map, from rural farms to urban centers.
• State‑wide alert coverage: By supplying a state code, users can receive the latest warnings for that entire region.
• Stateless operation: Each request is independent, enabling horizontal scaling and low memory footprints.

Typical use cases span a wide spectrum. A travel assistant can provide up‑to‑date weather for a user’s next destination, while an agriculture chatbot might advise farmers on irrigation schedules based on forecasted rainfall. Emergency response systems can embed alerts into dashboards or chatbots that inform residents about impending hazards. Even simple weather widgets in productivity tools can leverage the server to keep users informed without embedding API keys or complex client logic.

Integration is straightforward: an MCP‑compatible client sends a tool invocation with the required parameters, and the server responds with JSON payloads that the assistant can parse into natural language. Because MCP normalizes request and response formats, developers can focus on higher‑level logic—such as interpreting the data or combining it with other domain knowledge—rather than wrestling with API quirks. The Weather MCP Server thus provides a clean, reusable bridge between AI assistants and authoritative weather information, enhancing user experience across many application domains.