World Weather Online FAQs

Question 1

What types of weather data can I access through this integration?

Accepted Answer

You can access a wide range of data including current conditions, 14-day forecasts, historical weather data since 2008, marine weather (swell, tides, water temperature), ski weather for various elevations, location search, and astronomy data (sunrise, sunset, moon phase).

Question 2

Which AI clients are supported for connecting to this MCP server?

Accepted Answer

The MCP server provides direct configuration instructions for connecting AI clients such as Claude Desktop and Cursor/Windsurf, enabling them to utilize the WWO weather data tools.

Question 3

What is World Weather Online - MCP Server?

Accepted Answer

The World Weather Online - MCP Server integrates comprehensive weather data from World Weather Online directly with AI assistants through the Model Context Protocol (MCP). This allows AI tools like Claude and Cursor to access weather data as callable functions.

Question 4

How do I deploy the World Weather Online MCP server?

Accepted Answer

The server can be easily deployed to Railway. You push the repository to GitHub, then connect your GitHub repo to Railway. Railway automatically detects Node.js and deploys your server, allowing for custom domain setup.

Question 5

Does this tool provide historical weather information?

Accepted Answer

Yes, one of the key features is the ability to retrieve historical weather data, with records available from 2008 onwards, making it suitable for analysis and past event referencing.

World Weather Online

World Weather Online

Key Features

Use Cases

Key Features

Use Cases