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

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

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables AI agents to access real-time and historical weather data through multiple weather APIs including OpenMeteo, Tomorrow.io, and OpenWeatherMap. Provides comprehensive meteorological information including current conditions, forecasts, historical data, and weather alerts.

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