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 Pydantic AI 10 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Luma AI (Generative Video & Creative) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Luma AI (Generative Video & Creative) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Luma AI (Generative Video & Creative)?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every Luma AI (Generative Video & Creative) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Luma AI (Generative Video & Creative) with type-safe schemas

Why Use Pydantic AI with the Luma AI (Generative Video & Creative) MCP Server

Pydantic AI provides unique advantages when paired with Luma AI (Generative Video & Creative) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Luma AI (Generative Video & Creative) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Luma AI (Generative Video & Creative) connection logic from agent behavior for testable, maintainable code

Luma AI (Generative Video & Creative) + Pydantic AI Use Cases

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

Type-safe data pipelines: query Luma AI (Generative Video & Creative) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Luma AI (Generative Video & Creative) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Luma AI (Generative Video & Creative) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Luma AI (Generative Video & Creative) responses and write comprehensive agent tests

Luma AI (Generative Video & Creative) MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Luma AI (Generative Video & Creative) to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Luma AI (Generative Video & Creative) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Luma AI (Generative Video & Creative) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.