MCP Weather Server

Example Use Cases

• 1

  Fetch live weather data in a structured MCP-compliant format.

• 2

  That require scalable, serverless deployment of weather data services.

• 3

  That integrate multiple MCP tools via the MultiServerMCPClient.

Description

This MCP server implements a weather data service using the Model Context Protocol, enabling intelligent agents to fetch live weather information. It is built with Python, containerized with Docker, and deployed serverlessly on Google Cloud Run with continuous deployment from GitHub. The service exposes a dedicated MCP endpoint for structured communication, ensuring scalable and consistent access to weather data for AI applications.