Weather

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This tool creates a Model Context Protocol (MCP) weather server that enhances Large Language Models (LLMs) with real-time weather data. It exposes tools for fetching weather alerts and forecasts, addressing the LLM's lack of native environmental awareness. By utilizing the MCP framework, it offers standardized integration, dynamic discovery, enhanced security, and flexibility for various AI models.

Características Principales

• Uses the National Weather Service API for accurate data.
• Implements error handling for API requests.
• Formats weather data into a readable string.
• Provides weather forecasts for specific locations using latitude and longitude.
• Fetches weather alerts for US states.
• 0 GitHub stars

Casos de Uso

• Integrate real-time weather information into AI assistant responses.
• Enable AI agents to plan events based on weather forecasts.
• Personalize user experiences with location-specific weather updates.