Luma AI (Generative Video & Creative) MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Luma AI (Generative Video & Creative) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="luma_ai_generative_video_creative_agent",
tools=tools,
system_message=(
"You help users with Luma AI (Generative Video & Creative). "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Luma AI (Generative Video & Creative) tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Luma AI (Generative Video & Creative) MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Luma AI (Generative Video & Creative) automatically
Why Use AutoGen with the Luma AI (Generative Video & Creative) MCP Server
AutoGen provides unique advantages when paired with Luma AI (Generative Video & Creative) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Luma AI (Generative Video & Creative) tools to solve complex tasks
Role-based architecture lets you assign Luma AI (Generative Video & Creative) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Luma AI (Generative Video & Creative) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Luma AI (Generative Video & Creative) tool responses in an isolated environment
Luma AI (Generative Video & Creative) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Luma AI (Generative Video & Creative) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Luma AI (Generative Video & Creative) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Luma AI (Generative Video & Creative), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Luma AI (Generative Video & Creative) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Luma AI (Generative Video & Creative) responses in a sandboxed execution environment
Luma AI (Generative Video & Creative) MCP Tools for AutoGen (10)
These 10 tools become available when you connect Luma AI (Generative Video & Creative) to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Luma AI (Generative Video & Creative) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Luma AI (Generative Video & Creative) + AutoGen FAQ
Common questions about integrating Luma AI (Generative Video & Creative) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Luma AI (Generative Video & Creative) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Luma AI (Generative Video & Creative) to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
