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

Q: Is Luma AI (Generative Video & Creative) data accessible to LlamaIndex agents?

Yes, once you load the MCP tools, your agent can call lm.listgenerations to pull in data. This data is then processed and stored in your index.

Index your Luma AI generations in LlamaIndex. Create a searchable knowledge base of your cinematic assets and generation prompts.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

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

Create your Vinkius account to connect Luma AI (Generative Video & Creative) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Luma AI (Generative Video & Creative) with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build a searchable archive of Luma AI clips

Turn your Luma generation history into a queryable vector store. By indexing the results of `lm.list_generations`, you can search for past clips based on semantic descriptions. This makes finding specific B-roll or camera movements fast. You stop guessing what you generated last week and start querying your library with natural language.

Ground your LlamaIndex RAG in live video data

Connect your application to real-time generation statuses using `lm.get_generation`. Your RAG pipeline can now retrieve the latest video URLs and associate them with your project documentation. It provides context-aware answers that include actual media. Your AI client pulls the live state of your assets rather than relying on stale cached data.

Manage Luma AI resources with LlamaIndex tools

Integrate credit tracking into your knowledge base workflows. Use `lm.get_credits` to keep your project dashboard updated with your current usage stats. This ties your compute costs directly to your project documentation. You get a unified view of your assets and your budget in one index.

Setup guide

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

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Luma AI (Generative Video & Creative) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Luma AI (Generative Video & Creative) tools.",
)
response = await agent.run("List recent Luma AI (Generative Video & Creative) data")

Get your connection token →

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Luma AI (Generative Video & Creative) now

Real-time monitoring

Live

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

60%

lower AI costs

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 LlamaIndex

You can store the metadata and URLs returned by the server in your vector database. This allows LlamaIndex to retrieve and present specific video assets during a chat.

Use the MCP tool spec to fetch your generation history, then index the output. You can then ask your agent to find clips matching specific visual criteria.

Yes, once you load the MCP tools, your agent can call `lm.list_generations` to pull in data. This data is then processed and stored in your index.

The connection is proxied through a secure Vinkius endpoint. Only authorized requests from your LlamaIndex client reach the Luma API.

Your generated video metadata is processed within an ephemeral sandbox. No data persists on Vinkius servers, keeping your creative project information private and contained.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript