Weather

This weather service MCP server, developed for integrating weather data into AI assistants, provides a streamlined interface for accessing real-time weather information. It utilizes the httpx library for efficient HTTP requests and integrates with external weather APIs to fetch current conditions, forecasts, and other meteorological data. The server's modular structure, defined in the pyproject.toml, allows for easy deployment and scalability. By connecting AI capabilities with weather data, this implementation enables assistants to provide location-specific weather updates, plan outdoor activities, or analyze climate patterns. It is particularly useful for applications requiring up-to-date weather information, travel planning, or any scenario where an AI system needs to reason about and respond to current and forecasted weather conditions.