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How to Use the Imagine.io MCP in Cline

Use Cline to execute end-to-end 3D visualization tasks with the Imagine.io MCP Server, from asset retrieval to final render output.

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Cline

Connect Imagine.io MCP to Cline

Create your Vinkius account to connect Imagine.io 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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Execute render pipelines

Cline uses `create_render_job` to push your 3D concepts to the server. Because the agent manages the entire task, it handles the asynchronous nature of the engine without you needing to write custom scripts. It polls `get_job_status` to track when your files are ready. When the job finishes, Cline can download the output and stage the files in your project directory.

Sync product and material data

You can tell Cline to update your UI using data from `list_products` and `list_materials`. The agent fetches these lists and maps them to your local component state. Use `get_scene` to verify that your selected environment matches the product scale. This prevents mismatched renders before you spend credits on a job.

Audit your render history

The `list_renders` tool lets Cline parse your past jobs to find specific outputs. It displays the job status and metadata so you can see exactly what was generated. If you need to verify your current standing, `get_account` gives you an instant view of your credits. Cline can display this information in your dashboard or log it for your records.

Setup guide

Set up Imagine.io MCP in Cline

Prerequisites

  • VS Code with Cline extension installed
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add a remote server

    Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type imagineio-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. 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. 4

    Start using tools

    Return to the Cline chat and ask: "Check my latest Imagine.io 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": {
    "imagineio-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Imagine.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.

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Common questions about Imagine.io MCP in Cline

Go to the MCP Servers tab in the Cline sidebar and add the server URL. You can also edit the configuration file directly if you prefer manual setup.
Yes. Cline can fetch product data via `list_products` and use that to generate the necessary code for your front-end components.
The server uses a secure transport layer to pass data between the API and your IDE. No third-party services have access to your private render data.
Cline follows the tool definitions provided by the server. If you hit a limit, the agent reports the error, allowing you to manage your job frequency.
Render history is retrieved via `list_renders`. Cline can display these logs to help you track which product visualizations were successfully generated.

Start using the Imagine.io MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Imagine.io. Just plug in your AI agents and start using Vinkius.

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