mcp-weather
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., "@mcp-weatherany weather alerts in Texas?"
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.
MCP Weather
A weather information service built with the Model Control Protocol (MCP) framework that provides access to National Weather Service (NWS) data.
Overview
MCP Weather is a Python application that serves as an MCP tool, allowing AI assistants to access real-time weather information from the National Weather Service API. The service provides two main functionalities:
Weather Alerts: Get active weather alerts for any US state
Weather Forecasts: Get detailed weather forecasts for any location in the US by latitude and longitude
Related MCP server: Weather MCP Server
Features
Retrieve active weather alerts by US state code
Get detailed weather forecasts for specific locations
Clean, formatted output for easy reading
Built as an MCP tool for seamless integration with AI assistants
Requirements
Python 3.13 or higher
Dependencies:
httpx
mcp[cli]
Installation
Clone this repository:
git clone https://github.com/jpan8866/mcp-weather.git cd mcp-weatherYou will need the python package manager
uvto run the servercurl -LsSf https://astral.sh/uv/install.sh | sh
Usage
Running as an MCP Service
To test the server, run
uv run weather.pyIf the server runs successfully without errors, you can make the tool available with the following command:
PATH/uv --directory ABSOLUTE_PATH/mcp-weather run weather.pyAvailable Tools
Get Weather Alerts
Retrieves active weather alerts for a specified US state.
Parameters:
state: Two-letter US state code (e.g., CA, NY)
Get Weather Forecast
Retrieves a detailed weather forecast for a specific location.
Parameters:
latitude: Latitude of the locationlongitude: Longitude of the location
API Reference
The application uses the National Weather Service API to fetch weather data.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Acknowledgements
National Weather Service for providing the weather data API
MCP framework for enabling AI tool integration
Documentation on Model context protocol: https://modelcontextprotocol.io/quickstart/server#test-with-commands
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