MCP Weather Server

The MCP Weather Server is a comprehensive Model Context Protocol (MCP) compliant server designed to provide AI agents with access to real-time and historical weather data. Built using Python and FastAPI, it integrates with multiple weather APIs to deliver accurate, up-to-date meteorological information.

Key Features

Model Context Protocol (MCP) compliance for seamless AI agent integration
Multiple API integration: OpenMeteo, Tomorrow.io, Google Weather (via SerpApi), OpenWeatherMap, and AccuWeather.
Comprehensive weather data: current conditions, forecasts, historical data, and alerts
Robust error handling and data validation
Configurable through environment variables
Extensive logging and monitoring capabilities
RESTful API design with JSON responses
Built-in testing and validation tools

Related MCP server: MCP Weather Server

Installation & Setup

Prerequisites

Python 3.8 or higher
pip package manager
Internet connection for API access
Optional: Tomorrow.io API key for premium features

Installation Steps

Clone or download the project files
Install dependencies: pip install -r requirements.txt
Copy .env.example to .env
Configure environment variables (optional Tomorrow.io API key)
Run the server: python -m mcp_weather_server.server

Project Structure

mcp-weather-server/ ├── src/mcp_weather_server/ │ ├── __init__.py │ ├── server.py │ ├── tools/ │ │ ├── __init__.py │ │ ├── open_meteo.py │ │ └── tomorrow_io.py │ └── utils/ │ ├── __init__.py │ └── weather_utils.py ├── requirements.txt ├── pyproject.toml ├── .env.example ├── README.md ├── test_server.py └── examples.py