Name: Weather Data Server
Author: devilcoder01

Question 1

What is an MCP Server?

Accepted Answer

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Question 2

What kind of weather data does the UBOS Weather MCP Server provide?

Accepted Answer

The server provides current conditions, forecasts (1-14 days), historical data, alerts, air quality info, astronomy data, and location search.

Question 3

What do I need to use the UBOS Weather MCP Server?

Accepted Answer

You need Python 3.13+, the `uv` package manager, and a WeatherAPI API key.

Question 4

How do I install the UBOS Weather MCP Server?

Accepted Answer

You can install it via Smithery using the command: `npx -y @smithery/cli install @devilcoder01/weather-mcp-server --client claude`. Alternatively, you can manually install it using Git and `uv`.

Question 5

Where do I get a WeatherAPI API key?

Accepted Answer

You can obtain a free API key from [WeatherAPI](https://www.weatherapi.com/).

Question 6

How do I run the server after installation?

Accepted Answer

Run the command `python main.py` in your terminal after navigating to the project directory.

Question 7

How does this integrate with UBOS?

Accepted Answer

The UBOS platform allows you to orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents, which can seamlessly use the Weather MCP Server to provide weather-aware functionality.

Weather Data Server

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