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How to Use the Luma AI (Generative Video & Creative) MCP in Cline

Build end-to-end cinematic pre-visualization pipelines in VS Code by connecting Cline to the Luma Dream Machine MCP Server.

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Connect Luma AI (Generative Video & Creative) MCP to Cline

Create your Vinkius account to connect Luma AI (Generative Video & Creative) 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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Build Entire Video Assets Autonomously with Cline

The `lm.text_to_video` tool lets your agent generate motion sequences directly from your workspace using this MCP server. Tell Cline what scene you need, and it writes the prompt, executes the generation, and tracks the status. It does this without requiring you to copy-paste prompts into a browser. Cline manages the entire lifecycle of your assets. It checks your current balance using `lm.get_credits`, starts the generation, and polls `lm.get_generation` until the video is ready. If a clip does not match your layout, the agent uses `lm.delete_generation` to remove it and tries again.

Direct Camera Path Control with Cline and Dream Machine

The `lm.camera_control` tool gives your agent the ability to program specific camera movements via the MCP interface. Cline reads your local shot lists and translates them into pan, tilt, zoom, or orbit parameters. This replaces manual scene setup in traditional 3D engines with direct code-driven direction. You can also feed existing footage into the pipeline. Cline uses `lm.extend_video` to lengthen scenes or `lm.image_to_video` to turn static reference frames into moving sequences. The agent handles the file paths and API calls directly from your workspace.

Transition Interpolation and High-Fidelity Images

The `lm.interpolate` tool generates smooth motion transitions between two static keyframes. Cline uses this to build coherent narratives from your storyboard files. It feeds the start and end frames directly to the API, creating a natural bridge between your scenes. When you need to generate those keyframes first, the agent calls `lm.text_to_image` using the Photon-1 model. It writes the image prompt, gets the static asset, and then feeds it into the video generator. You get a complete visual pipeline managed by a single agent.

Setup guide

Set up Luma AI (Generative Video & Creative) 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 luma-ai-generative-video-creative-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 Luma AI (Generative Video & Creative) 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": {
    "luma-ai-generative-video-creative-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 Luma AI. 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 Luma AI (Generative Video & Creative) MCP in Cline

Open the Cline sidebar and click the MCP Servers icon. You can install it with one click from the marketplace tab or add your Vinkius endpoint URL directly to your `cline_mcp_settings.json` file.
Yes, Cline can read local image files from your workspace and pass them to `lm.image_to_video`. The agent automates the upload and generation process, turning your local sketches into moving clips.
Cline uses `lm.get_generation` to poll the status of your video. It monitors whether the job is queued, dreaming, or completed, and updates you in the chat interface once the video URL is ready.
Yes, you can ask the agent to find previous work. It runs `lm.list_generations` to pull a list of recent renders, including their prompts and status, so you can reuse or extend older clips.
All keyframe images and video URLs are processed through an ephemeral, zero-trust V8 sandbox on Vinkius. Your assets are only held in memory during the active API request to Luma and are never stored on Vinkius servers.

Start using the Luma AI (Generative Video & Creative) MCP today

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