MCP-Server-Weather-Alerts
The MCP Weather Server is designed to provide US weather alerts and forecasts using the MCP framework and the National Weather Service API. It enables automated interactions via a Language Model (LLM), allowing seamless data retrieval.
MCP Weather Server
This project is a weather server built using the MCP (Model Context Protocol) framework. It provides tools to fetch weather alerts and forecasts for specific locations in the United States using the National Weather Service (NWS) API.
Features
- Get Weather Alerts: Retrieve active weather alerts for a specific US state.
- Get Weather Forecast: Fetch detailed weather forecasts for a specific latitude and longitude.
Installation
- Clone the repository:
git clone <repository-url>
- Navigate to the project directory:
cd MCP Server/weather
- Install dependencies:
pip install -r requirements.txt
Usage
Run the Server
Start the MCP weather server:
python weather.py
If the server and client are on the same machine, use the stdio
transport:
uv run weather.py
Tools
1. Get Weather Alerts
Fetch active weather alerts for a US state using the get_alerts
tool.
Arguments:
state
: Two-letter US state code (e.g.,CA
for California,NY
for New York).
Example:
{
"tool": "get_alerts",
"args": {
"state": "CA"
}
}
2. Get Weather Forecast
Fetch a detailed weather forecast for a specific location using the get_forecast
tool.
Arguments:
latitude
: Latitude of the location (e.g.,34.0522
for Los Angeles).longitude
: Longitude of the location (e.g.,-118.2437
for Los Angeles).
Example:
{
"tool": "get_forecast",
"args": {
"latitude": 34.0522,
"longitude": -118.2437
}
}
Automatic Invocation by LLM
These tools are designed to be automatically invoked by a Language Model (LLM) through the client whenever required. The client can seamlessly interact with the server to fetch weather alerts or forecasts based on user queries.
Contributing
Feel free to submit issues or pull requests to improve the project.
License
This project is licensed under the MIT License.