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

Q: How do I configure the Luma AI (Generative Video & Creative) MCP Server in Claude Desktop?

Open your claudedesktopconfig.json file and add the server configuration under the mcpServers key. Provide your Luma API key in the environment variables, then restart the desktop application to load the tools.

Q: Can I delete unwanted video files from my history?

Yes, you can remove files immediately. Use lm.deletegeneration to delete a generation and its associated video directly from your account history.

Generate cinematic video with Luma AI (Generative Video & Creative) directly from your Claude Desktop chat interface using this MCP Server.

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Connect Luma AI (Generative Video & Creative) MCP to Claude Desktop

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

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Direct cinematic generation inside Claude Desktop

`lm.text_to_video` lets you build cinematic shots from text prompts without opening a web browser. Your client triggers the Ray-2 model behind the scenes, initiating video generation directly from your active chat thread. After starting a generation, you can monitor the progress with `lm.get_generation` to track its status. Once the model finishes rendering, the tool returns the completed MP4 URL directly to your workspace.

Dynamic camera control via prompt commands

`lm.camera_control` directs specific camera movements like pans, tilts, dollies, and orbits during generation. You write the visual directions, and your agent structures the exact parameters for the Dream Machine API. If the shot needs more runtime, `lm.extend_video` appends new footage to the end of your existing clip. This maintains visual continuity across sequential segments without requiring manual editing software.

Animate static assets using this MCP Server

This MCP Server enables `lm.image_to_video` to transform static concept art or mockups into moving frames. The first frame anchors the visual style, allowing the model to generate coherent motion from a single source image. To create transitions between two distinct scenes, `lm.interpolate` calculates the intermediate frames. You can also monitor your active API usage using `lm.get_credits` to keep track of your rendering budget.

Setup guide

Set up Luma AI (Generative Video & Creative) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Luma AI (Generative Video & Creative) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Luma AI (Generative Video & Creative) MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under luma-ai-generative-video-creative-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 Claude Desktop

Open your `claude_desktop_config.json` file and add the server configuration under the `mcpServers` key. Provide your Luma API key in the environment variables, then restart the desktop application to load the tools.

Yes, you can check your credit balance at any time. Ask Claude to run `lm.get_credits`, and it will return your current remaining balance.

The server uses asynchronous polling to manage generation times. Your client starts the task with `lm.text_to_video` and checks status using `lm.get_generation` until the video is ready.

Yes, you can remove files immediately. Use `lm.delete_generation` to delete a generation and its associated video directly from your account history.

Your Luma API keys and prompt texts are handled locally by your Claude Desktop instance. Vinkius runs this MCP Server in an isolated, secure sandbox, meaning your API credentials and generation metadata are never stored or logged on external servers.

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