Provides access to US National Weather Service (NWS) data, allowing retrieval of weather alerts by state and weather forecasts for specific coordinates.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@WeatherMCPget alerts for California"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
WeatherMCP
This project is an MCP server built as a hands-on exercise. It provides weather data and alerts from the US National Weather Service (NWS) via a simple API using the FastMCP framework.
Features
Weather Alerts: Get active weather alerts for any US state.
Forecast: Retrieve weather forecasts for a specific latitude and longitude.
Related MCP server: Weather-MCP-Server
Requirements
Python 3.8+
uv (for dependency management and running)
Installation
Install dependencies using uv:
uv pip install -r requirements.txtOr, if you use
pyproject.toml:uv pip install -r pyproject.toml(Optional) Create a virtual environment:
uv venv .venv source .venv/bin/activate
Running the MCP Server
To start the server using uv:
The server will start and listen for MCP requests via stdio.
Available Tools
1. get_alerts(state: str)
Description: Get active weather alerts for a US state.
Argument:
state— Two-letter US state code (e.g.,CA,NY).Returns: Formatted string of current alerts or a message if none are found.
2. get_forecast(latitude: float, longitude: float)
Description: Get weather forecast for a specific location.
Arguments:
latitude— Latitude of the location (float)longitude— Longitude of the location (float)
Returns: Formatted string with the next 5 forecast periods.
Notes
This project is for educational and hands-on purposes.
Data is sourced from the National Weather Service API.
Feel free to extend or modify the project for your own experiments!