Bring Generative Video
to CrewAI
Learn how to connect Luma AI (Generative Video & Creative) to CrewAI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the 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.
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
How it works
1. Subscribe to this server
2. Enter your Luma AI API Key
3. Start generating cinematic media from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Video Editors & Creators — generate high-quality B-roll and cinematic sequences through natural conversation without manual rendering
- Creative Directors — rapid-prototype visual concepts and storyboards by commanding your agent to generate varied styles and camera paths
- AI Artists & Designers — iterate on photorealistic imagery and complex video transitions directly from your workspace
Built-in capabilities (10)
Generate video with specific camera movements using Luma Dream Machine. Supports pan, tilt, dolly, orbit
Delete a Luma Dream Machine generation and its video
Extend an existing Luma video with additional footage. Seamlessly continues the scene
Get current Luma Dream Machine credit balance
Get the status and result of a Luma Dream Machine generation. Returns state (queued/dreaming/completed/failed) and video URL
Animate a still image into video using Luma Dream Machine. Image becomes the first frame
Create smooth video transition between two keyframe images using Luma Dream Machine
List recent Luma Dream Machine generations. Returns generation IDs, prompts, states, and timestamps
Generate photorealistic images using Luma Photon-1 model
), 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
Why CrewAI?
When paired with CrewAI, Luma AI (Generative Video & Creative) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Luma AI (Generative Video & Creative) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Luma AI (Generative Video & Creative) in CrewAI
Luma AI (Generative Video & Creative) and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Luma AI (Generative Video & Creative) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Luma AI (Generative Video & Creative) in CrewAI
The Luma AI (Generative Video & Creative) 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Luma AI (Generative Video & Creative) for CrewAI
Every tool call from CrewAI to the Luma AI (Generative Video & Creative) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.