Weather FAQs

Question 1

What is the MCP interface?

Accepted Answer

The Model Context Protocol (MCP) interface is a standardized way for AI agents and other applications to interact with tools. It defines a specific request/response structure using Pydantic models, making integration easier and more predictable.

Question 2

How can I test the Weather tool?

Accepted Answer

The Weather tool provides a client simulation script (`test_mcp_client.py`) for end-to-end testing and a comprehensive `pytest` suite for unit and integration tests. You can also manually test it with `curl` or API clients like Postman.

Question 3

How do I configure the Weather tool?

Accepted Answer

You need to obtain an API key from OpenWeatherMap and store it in a `.env` file in the project root directory. This file should also be added to your `.gitignore` file to prevent accidentally committing your API key to version control.

Question 4

What kind of weather information does it provide?

Accepted Answer

The Weather tool fetches current temperature (Celsius and Fahrenheit), weather conditions, a brief description, humidity percentage, wind speed (in kilometers per hour), and air pressure (in hectopascals).

Question 5

What is the Weather tool?

Accepted Answer

The Weather tool is an MCP server that provides current weather information for a given location using a standardized Model Context Protocol (MCP) interface. It abstracts away the complexities of interacting with different weather APIs, providing a consistent way for AI agents and other applications to access weather data.

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