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 LlamaIndex 10 tools — connect in under 2 minutes

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

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Luma AI (Generative Video & Creative) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Luma AI (Generative Video & Creative). "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine Luma AI (Generative Video & Creative) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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)

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

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

Data-first architecture: LlamaIndex agents combine Luma AI (Generative Video & Creative) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Luma AI (Generative Video & Creative) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Luma AI (Generative Video & Creative), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Luma AI (Generative Video & Creative) tools were called, what data was returned, and how it influenced the final answer

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

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

Hybrid search: combine Luma AI (Generative Video & Creative) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Luma AI (Generative Video & Creative) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Luma AI (Generative Video & Creative) for fresh data

Analytical workflows: chain Luma AI (Generative Video & Creative) queries with LlamaIndex's data connectors to build multi-source analytical reports

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

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Luma AI (Generative Video & Creative) + LlamaIndex FAQ

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Luma AI (Generative Video & Creative) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.