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

Trigger complex video workflows and automated camera paths using Mastra AI agents and Luma AI.

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

Create your Vinkius account to connect Luma AI (Generative Video & Creative) to Mastra AI 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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Automated Video Branching with Mastra AI

`lm.text_to_video` serves as the entry point for automated video pipelines managed by your Mastra workflows. If a generation fails or times out, Mastra's built-in retry engine automatically resubmits the prompt with exponential backoff. The workflow can dynamically branch based on output. If `lm.get_generation` returns a completed status, Mastra passes the video URL to the next step, but if it fails, the agent can alter the prompt and try again.

Multi-Step Cinematic Interpolation via MCP Server

`lm.interpolate` creates smooth transitions between two keyframe images by generating bridging footage. Mastra controls this process by feeding two distinct image inputs into the tool and monitoring the execution state. You can chain this with `lm.extend_video` to lengthen the generated sequence. Mastra's workflow engine handles the state passing, ensuring the output of the interpolation becomes the input for the extension without manual intervention.

Human-in-the-Loop Credit Control

`lm.get_credits` helps you monitor operational costs inside autonomous agents. You can configure Mastra to require manual approval via `requireToolApproval` whenever a workflow estimates a run will consume more than a set limit of credits. This MCP Server protects your budget while allowing the agent to run smaller, low-cost tasks autonomously. The agent checks the balance, pauses if the limit is exceeded, and alerts the administrator before proceeding with further video generation.

Setup guide

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

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Luma AI (Generative Video & Creative) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "luma-ai-generative-video-creative-mcp-client",
  servers: {
    "luma-ai-generative-video-creative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Luma AI (Generative Video & Creative) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Luma AI (Generative Video & Creative) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Luma AI (Generative Video & Creative) transactions"
);
console.log(result.text);

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.

Why Choose Vinkius

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Luma AI (Generative Video & Creative) MCP in Mastra AI

Yes. You can design a Mastra workflow that uses `lm.text_to_video` to generate drafts, checks the status with `lm.get_generation`, and then extends the footage using `lm.extend_video` based on conditional branching logic.
You can configure your agent to call `lm.get_credits` before executing any video generation. If the credits fall below a threshold, Mastra can trigger an alert workflow instead of failing mid-generation.
Use the `requireToolApproval` setting on your Mastra agent for tools like `lm.text_to_video` or `lm.camera_control`. This halts the execution and waits for user confirmation before calling the Luma API.
Yes. Mastra can trigger multiple `lm.text_to_video` calls concurrently and track their individual generation IDs using `lm.list_generations` to manage the queue.
Your credentials and generation prompts are processed in memory within secure, ephemeral V8 isolates. No persistent storage is used for your video metadata or credit balances, ensuring absolute isolation from other users.

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