What data source does MCP Weather use?
The application uses the National Weather Service API to fetch weather data.
@jpan8866
Basic information
A weather Model context protocol (MCP) tool server to allow AI agents to have access to real time weather data.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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MCP Weather is a Python application that serves as an MCP (Model Context Protocol) tool, allowing AI assistants to access real-time weather information from the National Weather Service (NWS) API. It provides two main functions: retrieving active weather alerts for any US state and obtaining detailed weather forecasts for any US location by latitude and longitude.
Clone the repository, ensure Python 3.13+ and the uv package manager are installed, then run uv run weather.py. To integrate as an MCP tool, use the command PATH/uv --directory ABSOLUTE_PATH/mcp-weather run weather.py. The server exposes two tools: Get Weather Alerts (parameter: state – two-letter US state code) and Get Weather Forecast (parameters: latitude, longitude).
The application uses the National Weather Service API to fetch weather data.
Python 3.13 or higher, the `uv` package manager, and dependencies `httpx` and `mcp[cli]`.
Run `uv run weather.py` from the project directory.
It requires a two-letter US state code, for example `CA` or `NY`.
It requires a latitude and longitude (decimal) for the location.

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