Question 1

What is the Weather MCP Server?

Accepted Answer

The Weather MCP Server is an open-source tool that allows Large Language Models (LLMs) to access real-time weather forecasts and city information via the Model Context Protocol (MCP).

Question 2

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs, enabling them to access external data sources and tools.

Question 3

How does the Weather MCP Server work?

Accepted Answer

It acts as a bridge, allowing LLMs to query and receive weather information, such as forecasts, based on location (city name or coordinates).

Question 4

What is the main tool available in the Weather MCP Server?

Accepted Answer

The primary tool is `get_24h_weather`, which retrieves weather forecasts for the next 24 hours for a given location.

Question 5

How do I install the Weather MCP Server?

Accepted Answer

You can install it using `uv` (recommended), `pip`, or Docker. Instructions for each method are provided in the documentation.

Question 6

How do I configure the Weather MCP Server with Claude.app or Zed?

Accepted Answer

Configuration details are provided for both Claude.app and Zed, outlining the necessary JSON settings to integrate the server.

Question 7

Can I contribute to the Weather MCP Server project?

Accepted Answer

Yes, contributions are encouraged! You can contribute new features, bug fixes, or documentation improvements.

Question 8

What license is the Weather MCP Server released under?

Accepted Answer

The Weather MCP Server is licensed under the MIT License.

Question 9

How can I debug the Weather MCP Server?

Accepted Answer

You can use the MCP inspector tool for debugging. Instructions and examples are provided in the documentation.

Question 10

What are some potential use cases for the Weather MCP Server?

Accepted Answer

Use cases include personalized trip planning, weather-based product recommendations, optimized irrigation in agriculture, and smart home automation.

Question 11

How does integrating with UBOS enhance the Weather MCP Server?

Accepted Answer

UBOS provides a full-stack AI Agent Development Platform, enabling seamless integration, advanced orchestration, custom agent development, and enterprise-grade security and scalability for your AI applications leveraging weather data.

Question 12

Where can I find more examples of MCP servers and implementation patterns?

Accepted Answer

You can find more examples at [https://github.com/modelcontextprotocol/servers](https://github.com/modelcontextprotocol/servers).

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