How to Use the Luma AI (Generative Video & Creative) MCP in VS Code Copilot

Q: How do we configure the Luma AI (Generative Video & Creative) MCP Server for a team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and define the MCP Server. Commit the file so every developer on the team automatically gets access to the tools upon opening the workspace.

Q: How do we monitor active Luma AI (Generative Video & Creative) jobs in VS Code Copilot?

Use lm.listgenerations to view recent job statuses, IDs, and timestamps. For specific details on an active render, run lm.getgeneration to see if it is still dreaming.

Q: Can we delete generated assets from the workspace?

Yes, you can clean up your history. Execute lm.deletegeneration with the target generation ID to remove the asset from your Luma history.

Generate cinematic video with Luma AI (Generative Video & Creative) directly inside your VS Code Copilot workflow using this MCP Server.

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Connect Luma AI (Generative Video & Creative) MCP to VS Code Copilot

Create your Vinkius account to connect Luma AI (Generative Video & Creative) to VS Code Copilot 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 Luma AI (Generative Video & Creative) with VS Code Copilot

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Team-wide video generation pipelines

`lm.text_to_video` allows your engineering team to generate cinematic video assets directly from the chat panel. By configuring this MCP Server, developers can trigger remote renders without switching contexts or using external web tools. Every team member can monitor rendering progress using `lm.get_generation`. This returns the precise state of the job, ensuring everyone has access to the output URLs as soon as they are ready.

Camera path scripting with VS Code Copilot

`lm.camera_control` applies standard cinematic movements like dollying, panning, and orbiting to your video generations. Copilot can help you format the exact parameters, making camera control highly predictable. To keep videos looking consistent, `lm.extend_video` appends new footage to existing clips. This maintains visual structure and pacing across longer sequences without manual intervention.

Automated asset animation and transitions

`lm.image_to_video` converts static UI designs or concept art into moving footage. The tool takes your local design file, sets it as the first frame, and generates realistic movement. Creating smooth transitions between two distinct keyframes is simple with `lm.interpolate`. You can also run `lm.get_credits` to check your team's shared API credit balance from the terminal.

Setup guide

Set up Luma AI (Generative Video & Creative) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Luma AI (Generative Video & Creative) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Luma AI (Generative Video & Creative) tools listed. Try asking: "List my recent Luma AI (Generative Video & Creative) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "luma-ai-generative-video-creative-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 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 VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and define the MCP Server. Commit the file so every developer on the team automatically gets access to the tools upon opening the workspace.

Yes, Copilot can draft descriptive text prompts based on your project requirements. It can then pass those prompts directly to `lm.text_to_video` to generate the matching video.

Use `lm.list_generations` to view recent job statuses, IDs, and timestamps. For specific details on an active render, run `lm.get_generation` to see if it is still dreaming.

Yes, you can clean up your history. Execute `lm.delete_generation` with the target generation ID to remove the asset from your Luma history.

Your credentials are kept secure using VS Code's local settings or environment variables. This MCP Server runs inside a zero-trust, ephemeral V8 isolate on Vinkius, ensuring your prompts, video files, and API keys are never stored.

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