FastAPI Weather Example

概要

This application serves as an example Model Context Protocol (MCP) server, designed to demonstrate how to build robust AI agent tools using FastAPI_MCP. While the sample provides real-time weather information for Japanese cities via Open-Meteo, its core purpose is to offer a customizable boilerplate for developers to integrate their unique business logic into an MCP-compliant server, facilitating seamless interaction with AI agents.

主な機能

• MCP server implementation utilizing the FastApiMCP library for AI agent integration
• Sample endpoint for retrieving real-time weather data for Japanese cities via Open-Meteo
• Built on the high-performance FastAPI framework for efficient API delivery
• 0 GitHub stars
• Customizable logic within endpoints to enable integration of diverse business processes
• Robust error handling for unsupported city inputs and external API connection failures

ユースケース

• Demonstrating how to expose internal services as AI-consumable tools for agent applications
• Learning to develop custom AI agent tools that adhere to the Model Context Protocol
• Providing a template for integrating specific business logic or data sources into an MCP server