Weekly Weather Mcp

The Weekly Weather MCP Server bridges the gap between AI assistants and real‑time meteorological data by exposing a simple, protocol‑compliant interface to the OpenWeatherMap One Call API 3.0. Developers who want their agents to answer weather‑related questions, plan outdoor activities, or provide contextual recommendations can integrate this server without handling API keys, rate limits, or data parsing themselves. The server’s primary value lies in delivering ready‑to‑use weather insights—current conditions, 48‑hour hourly forecasts, and a full eight‑day outlook with morning, afternoon, and evening granularity—to any MCP‑enabled client such as Claude Desktop.

At its core, the server accepts a geographic query (latitude/longitude) and an optional API key, then forwards that request to OpenWeatherMap. It returns a structured JSON payload containing temperature, humidity, wind speed, precipitation probability, and weather summaries for each time slice. The design deliberately removes the need for separate configuration files; API keys can be injected via environment variables or passed directly as a tool parameter, simplifying deployment in CI/CD pipelines and containerized environments. By adhering to MCP’s resource and tool conventions, the server can be discovered automatically by clients, enabling dynamic capability negotiation.

Key capabilities include:

• Global coverage: Any location on Earth can be queried, making the server suitable for travel assistants or logistics planners.
• Fine‑grained time resolution: Hourly data for the next 48 hours and a day‑by‑day breakdown up to eight days allow agents to make short‑term or medium‑term recommendations.
• Time‑zone awareness: Results can be rendered in the local time zone of the requested location, ensuring that advice (e.g., “lawn mowing recommended this afternoon”) aligns with user expectations.
• Cost control: The free tier of OpenWeatherMap offers 1,000 calls per day; developers can set caps in their accounts to avoid unexpected charges.

Real‑world use cases span from personal productivity tools that suggest optimal times for outdoor tasks, to enterprise logistics platforms that schedule deliveries based on weather risk, to smart‑home systems that adjust heating or irrigation. In each scenario, the MCP server abstracts away the intricacies of weather APIs, allowing developers to focus on higher‑level business logic while the AI assistant handles data retrieval and interpretation seamlessly.

By integrating this server into existing MCP workflows, developers gain a robust, low‑maintenance weather data source that scales with their application’s needs. The combination of comprehensive forecasts, straightforward authentication, and protocol compliance makes the Weekly Weather MCP Server a standout choice for any project that requires reliable, up‑to‑date meteorological information.