Weather Forecast

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This project offers a robust weather data service, built with Python and containerized with Docker, specifically engineered to communicate with AI agents via the Model Context Protocol (MCP). Hosted on Google Cloud Run, it benefits from automatic scaling, including scaling to zero when idle, and features continuous deployment from GitHub through Google Cloud Build. The service leverages open-meteo.com to deliver live weather data, making it an ideal backend for intelligent applications requiring real-time environmental information.

Características Principales

• Serverless Google Cloud Run Deployment
• Automated Continuous Deployment from GitHub
• Model Context Protocol (MCP) Server
• 0 GitHub stars
• Docker Containerization
• Python 3.10+ Runtime

Casos de Uso

• Building LangChain or LangGraph applications requiring external tool access
• Deploying scalable, MCP-compliant microservices on Google Cloud Platform
• Integrating real-time weather data into AI agents and LLMs