How do I check if my video generation is finished?

Use the `lm.get_generation` tool 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` tool. 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` tool 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.

Luma AI (Generative Video & Creative) MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Luma AI (Generative Video & Creative)
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Luma AI (Generative Video & Creative) and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Luma AI (Generative Video & Creative) MCP Server

Connect your Luma AI account to any AI agent and take full control of state-of-the-art generative video production and professional creative tools through natural conversation.

GitHub Copilot Agent mode brings Luma AI (Generative Video & Creative) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Cinematic Text-to-Video — Generate high-fidelity AI videos from scenic descriptions using Luma Dream Machine (Ray-2 model) directly from your agent
Image Animation — Transform static frames into dynamic videos (image-to-video) with industry-leading motion coherence and photorealism
Professional Camera Control — Direct your AI shots with specific movements including pan, tilt, dolly, and orbit using structured movement parameters
Video Extension & Looping — Seamlessly continue existing scenes with additional footage or create perfect looping videos for social media and backgrounds
Keyframe Interpolation — Create smooth, high-quality video transitions between two distinct keyframe images to bridge visual concepts effectively
Photorealistic Text-to-Image — Generate stunning high-resolution images using the Luma Photon-1 model for rapid visual iteration and design
Task Orchestration — Manage asynchronous generation jobs, poll for status updates (queued, dreaming, completed), and monitor your API credit balance securely

The Luma AI (Generative Video & Creative) MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

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

Follow these steps to integrate the Luma AI (Generative Video & Creative) MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Luma AI (Generative Video & Creative)

Ask Copilot: "Using Luma AI (Generative Video & Creative), help me...". 10 tools available

Why Use VS Code Copilot with the Luma AI (Generative Video & Creative) MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Luma AI (Generative Video & Creative) through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Luma AI (Generative Video & Creative) + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Luma AI (Generative Video & Creative) MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Luma AI (Generative Video & Creative) MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Luma AI (Generative Video & Creative) to VS Code Copilot via MCP:

lm.camera_control

Generate video with specific camera movements using Luma Dream Machine. Supports pan, tilt, dolly, orbit

lm.delete_generation

Delete a Luma Dream Machine generation and its video

lm.extend_video

Extend an existing Luma video with additional footage. Seamlessly continues the scene

lm.get_credits

Get current Luma Dream Machine credit balance

lm.get_generation

Get the status and result of a Luma Dream Machine generation. Returns state (queued/dreaming/completed/failed) and video URL

lm.image_to_video

Animate a still image into video using Luma Dream Machine. Image becomes the first frame

lm.interpolate

Create smooth video transition between two keyframe images using Luma Dream Machine

lm.list_generations

List recent Luma Dream Machine generations. Returns generation IDs, prompts, states, and timestamps

lm.text_to_image

Generate photorealistic images using Luma Photon-1 model

lm.text_to_video

), and loop (true/false). Poll get_generation for results. Generate cinematic AI video from a text prompt using Luma Dream Machine (Ray-2 model). Industry-leading motion coherence and photorealism

Example Prompts for Luma AI (Generative Video & Creative) in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Luma AI (Generative Video & Creative) immediately.

"Generate a 5-second cinematic video of a futuristic spaceship landing on a neon planet"

"Animate this static image into a video: [url]"

"Show me my last 3 Luma generations"

Troubleshooting Luma AI (Generative Video & Creative) MCP Server with VS Code Copilot

Common issues when connecting Luma AI (Generative Video & Creative) to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Luma AI (Generative Video & Creative) + VS Code Copilot FAQ

Common questions about integrating Luma AI (Generative Video & Creative) MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.