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 LangChain 10 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Luma AI (Generative Video & Creative) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "luma-ai-generative-video-creative": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Luma AI (Generative Video & Creative), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Luma AI (Generative Video & Creative) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Luma AI (Generative Video & Creative) via MCP

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

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

The largest ecosystem of integrations, chains, and agents. combine Luma AI (Generative Video & Creative) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Luma AI (Generative Video & Creative) queries for multi-turn workflows

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

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

RAG with live data: combine Luma AI (Generative Video & Creative) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Luma AI (Generative Video & Creative), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Luma AI (Generative Video & Creative) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Luma AI (Generative Video & Creative) tool call, measure latency, and optimize your agent's performance

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

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

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Luma AI (Generative Video & Creative) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.