PyWeather FAQs

Question 1

How do I install and run PyWeather?

Accepted Answer

You can install PyWeather by cloning its repository and using either `uv sync` or `pip install -e .` within a virtual environment. To run the MCP server, simply execute `python weather.py` from the project directory, and it will listen for MCP messages via stdio.

Question 2

How does PyWeather manage my favorite locations and search history?

Accepted Answer

PyWeather automatically handles data storage and persistence. It creates and maintains a `weather_memory.json` file where your favorite locations, search history, and usage statistics are securely stored, ensuring your data is available across sessions.

Question 3

What is PyWeather?

Accepted Answer

PyWeather is a Model Context Protocol (MCP) server that provides real-time US weather alerts and 5-day forecasts. It integrates directly with the official National Weather Service (NWS) API to deliver accurate, up-to-date weather information.

Question 4

What are PyWeather's core features?

Accepted Answer

PyWeather offers active weather alerts for any US state, 5-day forecasts for specific US locations, the ability to save and manage favorite weather spots, and a tracker for your weather query search history. All preferences and data are automatically persistent.

Question 5

Does PyWeather require an API key to use?

Accepted Answer

No, PyWeather utilizes the National Weather Service (NWS) API, which provides free weather data for the United States. This means you do not need an API key or any authentication to access its weather services.

PyWeather

PyWeather

主要功能

使用案例

主要功能

使用案例