mcp-weather-server-tool
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A specialized weather data server tool built using the MCP SDK and TypeScript that provides weather information through the Model Context Protocol (MCP).
The MCP Weather Server is a tool designed to facilitate the integration of real-time weather data into Large Language Models (LLMs) that support the Model Context Protocol (MCP). By leveraging the MCP SDK and TypeScript, this server acts as a middleware, enabling seamless communication between AI systems and weather data sources. It allows LLMs to retrieve real-time weather forecasts and alerts, enhancing their ability to provide contextually relevant information. The server is particularly useful for AI applications that require up-to-date meteorological data, ensuring that language models can process and respond to weather-related queries effectively.
Features
- Enables LLMs to retrieve real-time weather forecasts through function calling
- Allows AI models to access and process weather alerts by location
- Built with TypeScript for type safety and improved developer experience
- Implements the Model Context Protocol (MCP) for standardized LLM communication
- Serves as a middleware between weather data APIs and language models
