How to Use the Tomorrow.io Extended MCP in Cline

Build full dashboards with Tomorrow.io Extended MCP Server using Cline's end-to-end execution power.

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Connect Tomorrow.io Extended MCP to Cline

Create your Vinkius account to connect Tomorrow.io Extended to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Tomorrow.io Extended with Cline

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Integrate Air Quality into Your Codebase via Tomorrow.io Extended

Tell Cline to build a dashboard component that shows current air quality. It handles the whole loop: fetching data using `get_air_quality`, writing the necessary API wrapper code, and even creating unit tests for it. It doesn't stop there; if you need to update the visualization logic based on new standards, Cline writes the diff and stages the commit for you.

Automate Weather Forecasting Components with Tomorrow.io Extended

Need a module that predicts weather? Instruct Cline to use `get_weather_forecast`. It imports the necessary data schema, generates the Python or JavaScript function, and writes all supporting documentation for that component. This means you don't just get the code; you get tested code. Cline runs tests against the forecast logic, ensuring it handles edge cases correctly.

Create Alert-Handling Logic using Tomorrow.io Extended MCP Server

You can write a full script that checks for hazards. Cline will call `list_weather_alerts`, check if the returned list is empty, and then generate an IF/ELSE block in your code based on the result. It even handles the history part. If you want to compare today's alerts against last week’s using `get_recent_history`, Cline writes that comparison function and runs it through local linting.

Setup guide

Set up Tomorrow.io Extended MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type tomorrowio-extended-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Tomorrow.io Extended refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "tomorrowio-extended-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tomorrow.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Tomorrow.io Extended MCP in Cline

You tell Cline to build the final result. It autonomously calls multiple tools—like `get_realtime_weather` and `list_weather_alerts`—then writes the code that stitches those outputs into one clean component ready for your project.

This MCP Server touches Air Quality data. This environmental information, detailing atmospheric pollutants, is what Cline uses to build monitoring components in your codebase.

Yes. You can instruct Cline to write a function that first calls `get_realtime_weather` for today's data, then uses `get_recent_history` to retrieve the same metrics from last week, and finally writes the comparison logic.

While Cline is focused on code execution, it generates components designed for scheduling. For instance, you can build a function that relies on `get_weather_forecast` and then stage that component in your project structure.

Cline writes tests for everything it builds. If you write a function relying on `get_weather_forecast`, Cline automatically creates and runs unit tests against that forecast logic, guaranteeing correctness.

Use it with your favorite AI tools

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