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This project demonstrates how to create an MCP server that exposes weather-related tools to Large Language Models (LLMs). The server provides a `fetch-weather` tool that retrieves current weather data and forecasts for any city using the Open-Meteo API.

Características Principales

• MCP Protocol: Compatible with AI assistants that support the Model Context Protocol
• TypeScript: Fully typed implementation for better development experience
• Weather Tool: Fetch current weather conditions and forecasts for any city
• Input Validation: Uses Zod for robust input/output validation
• 0 GitHub stars

Casos de Uso

• Integrating real-world data retrieval capabilities into Large Language Models (LLMs).
• Serving as an example or boilerplate for developing custom MCP servers with external API integrations.
• Enabling AI assistants to access real-time weather information for any city.