How do I use Luma with my AI client?

Once you connect the MCP to your client, you can simply ask your agent to generate videos or images using Luma's models.

What models does this MCP use?

This MCP uses the Luma Dream Machine Ray-2 model for video and the Photon-1 model for photorealistic images.

Can I control the camera in the videos?

Yes, you can use specific commands for pan, tilt, dolly, and orbit movements.

How do I know when my video is finished?

Your agent can monitor the generation status and will notify you once the state changes from dreaming to completed.

Do I need to manage my own API credits?

You can check your current Luma Dream Machine credit balance directly through your agent using the credit capability.

How do I check if my video generation is finished?

Use the lm.get_generation capability with the Generation ID provided. Your agent will poll the Luma API and report the current state (queued, dreaming, or completed). Once finished, it will return the final MP4 video URL.

Can I control the camera movement in my AI-generated video?

Absolutely. Use the lm.camera_control capability. You can provide a scene prompt and a JSON block defining the movement type (e.g., orbit, pan, tilt) and magnitude, allowing for professional cinematographic directing.

Can my agent extend an existing Luma video with more footage?

Yes. The lm.extend_video capability allows you to provide a continuation prompt and a previous Generation ID. Your agent will trigger Luma to seamlessly expand the scene, maintaining visual and structural consistency.

An astronaut overseeing a futuristic data hub

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Connect Luma AI Generative Video Creative to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn text and images into cinematic footage using your agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Luma AI.

01
Lm.delete generation
This capability removes a specific Luma Dream Machine generation and its associated video file.
02
Lm.extend video
Use this to add more footage to an existing Luma video to continue a scene.
03
Lm.interpolate
This capability creates smooth video transitions between two different keyframe images.
04
Lm.get credits
Check your current Luma Dream Machine credit balance through your agent.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Luma AI.

05
Lm.image to video
Animate a still image by using it as the starting frame for a Luma Dream Machine video.
06
Lm.text to video
Generate cinematic video from text prompts using the Luma Dream Machine Ray-2 model.
07
Lm.camera control
Direct specific camera movements like pan, tilt, dolly, or orbit during video generation.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Luma AI.

08
Lm.get generation
Retrieve the current status and the final video URL for a specific generation job.
09
Lm.list generations
View a list of your recent Luma Dream Machine generations, including their prompts and states.
10
Lm.text to image
Create photorealistic, high-resolution images using the Luma Photon-1 model.

Real work

What teams actually run

Rapid Storyboarding

Direct your agent to generate varied visual styles and camera paths to visualize a scene quickly.

B-Roll Production

Create cinematic footage from text descriptions to fill gaps in video projects.

Social Media Content

Generate looping videos or extend existing clips for background use.

Visual Prototyping

Use text-to-image capabilities to quickly iterate on high-resolution design concepts.

Automate a task

Put Luma AI to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Luma AI works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Luma AI to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1027ms average. Fast in production.

Luma AI is checked daily against the live service.

Daily averagePeak 1105ms

Oct 11Today

Fastest day: 847ms
Slowest day: 1105ms
14-day trend: Slowing+30%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Luma AI, so you can see the experience inside your AI.

It does not authenticate your account with Luma AI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Luma AI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_eMuspQUEffZmIoaVTe2vhE8crBGgBQMVGBLmfs0C/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Luma AI capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "luma-ai-generative-video-creative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_eMuspQUEffZmIoaVTe2vhE8crBGgBQMVGBLmfs0C/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Luma AI in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Luma AI owners hand off.

This MCP is built for creative professionals who want to integrate high-end video generation into their existing AI workflows.

01
Video Editors
Generate high-quality B-roll and cinematic sequences through natural conversation.
02
Creative Directors
Prototype visual concepts and storyboards by commanding camera paths and styles.
03
AI Artists
Iterate on photorealistic imagery and complex video transitions within a single workspace.

FAQ

Questions Luma AI owners ask.

01
How do I use Luma with my AI client?
Once you connect the MCP to your client, you can simply ask your agent to generate videos or images using Luma's models.
02
What models does this MCP use?
This MCP uses the Luma Dream Machine Ray-2 model for video and the Photon-1 model for photorealistic images.
03
Can I control the camera in the videos?
Yes, you can use specific commands for pan, tilt, dolly, and orbit movements.
04
How do I know when my video is finished?
Your agent can monitor the generation status and will notify you once the state changes from dreaming to completed.
05
Do I need to manage my own API credits?
You can check your current Luma Dream Machine credit balance directly through your agent using the credit capability.
06
How do I check if my video generation is finished?
Use the lm.get_generation capability with the Generation ID provided. Your agent will poll the Luma API and report the current state (queued, dreaming, or completed). Once finished, it will return the final MP4 video URL.
07
Can I control the camera movement in my AI-generated video?
Absolutely. Use the lm.camera_control capability. You can provide a scene prompt and a JSON block defining the movement type (e.g., orbit, pan, tilt) and magnitude, allowing for professional cinematographic directing.
08
Can my agent extend an existing Luma video with more footage?
Yes. The lm.extend_video capability allows you to provide a continuation prompt and a previous Generation ID. Your agent will trigger Luma to seamlessly expand the scene, maintaining visual and structural consistency.

Explore

More in AI Frontier

Connect Luma AI to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Lm.delete generation

Lm.extend video

Lm.interpolate

Lm.get credits

05-07

Lm.image to video

Lm.text to video

Lm.camera control

08-10

Lm.get generation

Lm.list generations

Lm.text to image

What teams actually run

Rapid Storyboarding

B-Roll Production

Social Media Content

Visual Prototyping

Building your own app? The connector is yours to use.

Luma AI Connector

Claude Desktop

Video Editors

Creative Directors

AI Artists

How do I use Luma with my AI client?

What models does this MCP use?

Can I control the camera in the videos?

How do I know when my video is finished?

Do I need to manage my own API credits?

How do I check if my video generation is finished?

Can I control the camera movement in my AI-generated video?

Can my agent extend an existing Luma video with more footage?

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