Question 1

What is the Weather MCP Server?

Accepted Answer

The Weather MCP Server is a Model Context Protocol (MCP) server that provides weather data to AI models. It uses the MCP framework to standardize how weather information is accessed and utilized by AI agents.

Question 2

What kind of data does the Weather MCP Server provide?

Accepted Answer

It offers a variety of weather-related data, including current conditions, forecasts (1-14 days), historical data, weather alerts, air quality information, astronomy data (sunrise, sunset, moon phases), location search, and timezone information.

Question 3

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs (Large Language Models). The Weather MCP Server acts as a bridge, allowing AI models to access and interact with external weather data sources and tools in a standardized manner.

Question 4

What are the requirements for installing the Weather MCP Server?

Accepted Answer

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

Question 5

How do I install the 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`, or manually by cloning the repository, installing dependencies with `uv pip install -e .`, and setting up the WeatherAPI key in a `.env` file.

Question 6

Where do I get a WeatherAPI API key?

Accepted Answer

You can obtain a WeatherAPI API key by signing up for an account at [WeatherAPI.com](https://www.weatherapi.com/).

Question 7

How do I run the Weather MCP Server?

Accepted Answer

After installing, run the server using the command `python main.py` in your terminal. It will start on http://localhost:8000 by default.

Question 8

What is UBOS and how does it relate to the Weather MCP Server?

Accepted Answer

UBOS is a Full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems. The Weather MCP Server can be integrated with UBOS to provide AI agents with real-time weather data, enabling more sophisticated tasks.

Question 9

Can I use the Weather MCP Server for commercial purposes?

Accepted Answer

Yes, the project is licensed under the MIT License, which allows for commercial use. However, you are responsible for complying with the terms of service of the WeatherAPI.

Question 10

Where can I find the license information?

Accepted Answer

The license information can be found in the `LICENSE` file in the project repository.

Question 11

What if I encounter issues during installation or usage?

Accepted Answer

Refer to the project's documentation, check the GitHub repository for issues and discussions, or contact the project maintainers for support.

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