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

Q: How do I install the Luma AI (Generative Video & Creative) MCP Server in Cursor?

Add the server to your .cursor/mcp.json file under the mcpServers key. Include your API credentials in the environment variables block, and Cursor will automatically load the tools.

Q: Can I use Luma AI (Generative Video & Creative) in Cursor's Agent mode?

Yes, Agent mode can execute tools like lm.texttovideo and lm.cameracontrol autonomously. The agent can write prompts, initiate generations, and verify results for you.

Q: Can I extend an existing video using the editor tools?

Yes, you can continue a scene easily. Run lm.extendvideo with your existing video ID to append new footage and expand your creative sequence.

Generate and edit cinematic Luma AI video assets directly within your Cursor editor environment using this MCP Server.

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

Create your Vinkius account to connect Luma AI (Generative Video & Creative) to Cursor 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 Cursor

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Inline prompt-to-video generation inside Cursor

`lm.text_to_video` generates cinematic sequences directly from your codebase or chat interface. Your editor handles the API communication, turning your descriptive text prompts into high-fidelity video clips using the Ray-2 model. Tracking the state of your generation is straightforward with `lm.get_generation`. The tool returns a JSON object containing the status and final video URL, allowing you to embed the asset immediately.

Animate local assets using this MCP Server

This MCP Server uses `lm.image_to_video` to convert static assets into motion sequences. You can reference any local image file in your workspace, and the model will use it as the starting frame for the output video. If you need to stitch scenes together, `lm.interpolate` generates smooth transitions between two keyframe images. This workflow keeps your asset creation entirely inside your local editing workspace.

Manage generation queues and credits

`lm.list_generations` provides a clean list of your recent video generations, complete with IDs and timestamps. This makes it easy to reference previous work or retrieve URLs for active projects. You can monitor your operational costs using `lm.get_credits` to get your current API balance. If a generation fails or is no longer needed, `lm.delete_generation` cleans up your remote storage.

Setup guide

Set up Luma AI (Generative Video & Creative) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Luma AI (Generative Video & Creative) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Luma AI (Generative Video & Creative) transactions." If the MCP tools are loaded correctly, Cursor will call the Luma AI (Generative Video & Creative) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "luma-ai-generative-video-creative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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 Cursor

Add the server to your `.cursor/mcp.json` file under the `mcpServers` key. Include your API credentials in the environment variables block, and Cursor will automatically load the tools.

Yes, Agent mode can execute tools like `lm.text_to_video` and `lm.camera_control` autonomously. The agent can write prompts, initiate generations, and verify results for you.

Because rendering takes time, the server initiates the process and returns a queued status. Cursor then uses `lm.get_generation` to poll the API until the rendering completes.

Yes, you can continue a scene easily. Run `lm.extend_video` with your existing video ID to append new footage and expand your creative sequence.

Cursor stores your API key locally in your configuration file. This MCP Server runs in an ephemeral V8 isolate on Vinkius, ensuring your prompts, API keys, and generated video URLs are never cached or exposed.

Use it with your favorite AI tools

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