What is mcp_weather
MCP Weather is a weather information service built using the Model Control Protocol (MCP) framework. It provides access to real-time weather data, including alerts and forecasts from the National Weather Service (NWS).
How to use mcp_weather
1. Clone the MCP Weather repository. 2. Install the required dependencies. 3. Run the service using Python. 4. Access weather alerts and forecasts via 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.
