a year ago
research-and-dataA weather Model context protocol (MCP) tool server to allow AI agents to have access to real time weather data.
Overview
what is MCP Weather?
MCP Weather is a weather information service built with the Model Control Protocol (MCP) framework that provides access to real-time weather data from the National Weather Service (NWS).
how to use MCP Weather?
To use MCP Weather, clone the repository, install the dependencies, and run the service using Python. You can then access weather alerts and forecasts through the provided API.
key features of MCP Weather?
- 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
use cases of MCP Weather?
- Providing real-time weather updates to AI assistants
- Alerting users about severe weather conditions in their area
- Offering detailed weather forecasts for planning outdoor activities
FAQ from MCP Weather?
- Can MCP Weather provide weather data for all US states?
Yes! MCP Weather can retrieve weather alerts and forecasts for any US state.
- What are the requirements to run MCP Weather?
You need Python 3.13 or higher and the specified dependencies.
- How can I contribute to MCP Weather?
Contributions are welcome! You can submit a Pull Request on the GitHub repository.