Retrieves weather alerts and forecasts using the National Weather Service API.
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.
Key Features
01Uses the National Weather Service API for accurate data.
02Implements error handling for API requests.
03Formats weather data into a readable string.
04Provides weather forecasts for specific locations using latitude and longitude.
05Fetches weather alerts for US states.
060 GitHub stars
Use Cases
01Integrate real-time weather information into AI assistant responses.
02Enable AI agents to plan events based on weather forecasts.
03Personalize user experiences with location-specific weather updates.
