weather_mcp_project
Provides real-time weather forecasts through an MCP server, using Google Gemini for AI-powered interactions and a Streamlit interface.
README
Weather MCP Agent
A modular, production-grade AI agent that provides real-time weather forecasts. This project leverages the Model Context Protocol (MCP) pattern, Google Gemini 2.0 Flash-Lite for intelligence, and Streamlit for a responsive user interface.
Project Overview
This application serves as an intelligent agent capable of executing function calls to retrieve live meteorological data. It is built with a focus on SOLID principles, modularity, and clean architecture.
Architecture
- Agent Orchestration: Uses the Google GenAI SDK to manage conversation state and tool execution.
- Weather Service: A decoupled service layer for external API communication (Open-Meteo).
- Interface: A clean Streamlit chat UI for interactive weather queries.
Project Structure
weather_mcp_project/
├── .env # Environment variables (API Key)
├── .gitignore # Git exclusion rules
├── app.py # Streamlit chat interface
├── requirements.txt # Project dependencies
└── src/ # Core application logic
├── agent_client.py # AI Agent orchestration
├── config.py # Pydantic-based configuration
├── mcp_server.py # MCP tool definitions
└── weather_service.py# External data integrationRecommended Servers
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