mcp_AI

🌤️ Weather Alert & Forecast MCP Tool

A lightweight microservice using FastMCP that fetches weather alerts and forecasts from the National Weather Service API. This tool provides U.S. state-level alerts and location-based forecasts.

🚀 Features

• Get Active Alerts: Fetch active weather alerts for any U.S. state using its two-letter abbreviation.

• Get Forecast: Retrieve the upcoming weather forecast for a specific latitude and longitude.

• Asynchronous Requests: Efficient use of httpx for non-blocking API calls.

• Formatted Output: Readable string output ideal for chatbot integration or quick CLI access.

Related MCP server: Weather MCP Server

👷️ Installation

pip install httpx
pip install mcp  # Or your local FastMCP package

📦 Usage

Make sure you have Python 3.9+ and mcp installed.

python weather.py

The MCP server will start and listen for commands using the stdio transport.

🧰 Available Tools

get_alerts(state: str)

Fetch active weather alerts for a U.S. state.

Arguments:

• state: Two-letter state code (e.g., CA, TX, NY)

Returns:
A formatted string of current alerts or a message if none are available.

get_forecast(latitude: float, longitude: float)

Fetch a detailed forecast for a specific location.

Arguments:

• latitude: Latitude of the location (e.g., 37.7749)

• longitude: Longitude of the location (e.g., -122.4194)

Returns:
Up to 5 periods of detailed forecast data (e.g., "Tonight", "Monday").

🧪 Example Output

Alert Example:

Event: Flood Warning  
Area: San Joaquin County  
Severity: Moderate  
Description: Flooding is expected in low-lying areas...  
Instructions: Turn around, don’t drown...

Forecast Example:

Tonight:
Temperature: 54°F
Wind: 10 mph NW
Forecast: Clear skies with calm wind.

---
Monday:
Temperature: 68°F
Wind: 5 to 10 mph W
Forecast: Sunny and warm.

📟 License

This project is licensed under the MIT License.