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securityF
license-
qualityA standardized API server that enables AI agents and client applications to fetch current weather information for any location without directly interacting with external weather APIs.
Last updated -
Provides access to AccuWeather's meteorological data for retrieving weather information and forecasts
Integrates with Google Weather via SerpApi to retrieve weather data and conditions
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.txtCopy
.env.exampleto.envConfigure 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
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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