mcp-luma-dream-machine
# Luma AI MCP Server 🎥
A Model Context Protocol server for Luma AI's Dream Machine API.
## Overview
This MCP server integrates with Luma AI's Dream Machine API (v1) to provide tools for generating, managing, and manipulating AI-generated videos and images via Large Language Models. It implements the Model Context Protocol (MCP) to enable seamless interaction between AI assistants and Luma's creative tools.
## Features ✨
- Text-to-video generation
- Advanced video generation with keyframes
- Image-to-video conversion
- Video extension and interpolation
- Image generation with reference images
- Audio addition to videos
- Video upscaling
- Credit management
- Generation tracking and status checking
## Tools 🛠️
1. `ping`
- Check if the Luma API is running
- No parameters required
2. `create_generation`
- Creates a new video generation
- Input:
- `prompt` (string, required): Text description of the video to generate
- `model` (string, optional): Model to use (default: "ray-2")
- Available models: "ray-1-6", "ray-2", "ray-flash-2"
- `resolution` (string, optional): Video resolution (choices: "540p", "720p", "1080p", "4k")
- `duration` (string, optional): Video duration (only "5s" and "9s" are currently supported)
- `aspect_ratio` (string, optional): Video aspect ratio (e.g., "16:9", "1:1", "9:16", "4:3", "3:4", "21:9", "9:21")
- `loop` (boolean, optional): Whether to make the video loop
- `keyframes` (object, optional): Start and end frames for advanced video generation:
- `frame0` and/or `frame1` with either:
- `{"type": "image", "url": "image_url"}` for image keyframes
- `{"type": "generation", "id": "generation_id"}` for video keyframes
3. `get_generation`
- Gets the status of a generation
- Input:
- `generation_id` (string, required): ID of the generation to check
- Output includes:
- Generation ID
- State (queued, dreaming, completed, failed)
- Failure reason (if failed)
- Video URL (if completed)
4. `list_generations`
- Lists all generations
- Input:
- `limit` (number, optional): Maximum number of generations to return (default: 10)
- `offset` (number, optional): Number of generations to skip
5. `delete_generation`
- Deletes a generation
- Input:
- `generation_id` (string, required): ID of the generation to delete
6. `upscale_generation`
- Upscales a video generation to higher resolution
- Input:
- `generation_id` (string, required): ID of the generation to upscale
- `resolution` (string, required): Target resolution for the upscaled video (one of "540p", "720p", "1080p", or "4k")
- Note:
- The generation must be in a completed state to be upscaled
- The target resolution must be higher than the original generation's resolution
- Each generation can only be upscaled once
7. `add_audio`
- Adds AI-generated audio to a video generation
- Input:
- `generation_id` (required): The ID of the generation to add audio to
- `prompt` (required): The prompt for the audio generation
- `negative_prompt` (optional): The negative prompt for the audio generation
- `callback_url` (optional): URL to notify when the audio processing is complete
8. `generate_image`
- Generates an image from a text prompt with optional reference images
- Input:
- `prompt` (string, required): Text description of the image to generate
- `model` (string, optional): Model to use for image generation (default: "photon-1")
- Available models: "photon-1", "photon-flash-1"
- `aspect_ratio` (string, optional): Image aspect ratio (same options as video)
- `image_ref` (array, optional): Reference images to guide generation
- Each ref: `{"url": "image_url", "weight": optional_float}`
- `style_ref` (array, optional): Style reference images
- Each ref: `{"url": "image_url", "weight": optional_float}`
- `character_ref` (object, optional): Character reference images
- Format: `{"identity_name": {"images": ["url1", "url2", ...]}}`
- `modify_image_ref` (object, optional): Image to modify
- Format: `{"url": "image_url", "weight": optional_float}`
9. `get_credits`
- Gets credit information for the current user
- No parameters required
- Returns available credit balance in USD cents
10. `get_camera_motions`
- Gets all supported camera motions
- No parameters required
- Returns: List of available camera motion strings
## Setup for Claude Desktop 🖥️
1. Get your Luma API key from [Luma AI](https://lumalabs.ai) (sign up or log in to get your API key)
2. Add this to your Claude Desktop configuration file:
- On macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- On Windows: `%APPDATA%\Claude\claude_desktop_config.json`
```json
{
"mcpServers": {
"luma": {
"command": "uv",
"args": [
"run",
"--project",
"/path/to/your/luma-ai-mcp-server",
"-m",
"luma_ai_mcp_server"
],
"env": {
"LUMA_API_KEY": "your-luma-api-key-here"
}
}
}
}
```
Replace:
- `/path/to/your/luma-ai-mcp-server` with the actual path to your server directory
- `your-luma-api-key-here` with your actual Luma API key
3. Restart Claude Desktop
4. That's it! You can now use Luma AI tools directly in Claude Desktop conversations.
## Quick Troubleshooting 🛠️
If you're having issues:
1. Check your API key is correct
2. Make sure the path to the server is correct
3. View logs with: `tail -n 20 -f ~/Library/Logs/Claude/mcp*.log`
## Advanced Video Generation Types 🎬
The Luma API supports various types of advanced video generation through keyframes:
1. **Starting from an image**: Provide `frame0` with `type: "image"` and an image URL
2. **Ending with an image**: Provide `frame1` with `type: "image"` and an image URL
3. **Extending a video**: Provide `frame0` with `type: "generation"` and a generation ID
4. **Reverse extending a video**: Provide `frame1` with `type: "generation"` and a generation ID
5. **Interpolating between videos**: Provide both `frame0` and `frame1` with `type: "generation"` and generation IDs
## API Limitations and Notes 📝
- **Duration**: Currently, the API only supports durations of "5s" or "9s"
- **Resolution**: Valid values are "540p", "720p", "1080p", and "4k"
- **Models**:
- Video generation:
- "ray-2" (default) - Best quality, slower
- "ray-flash-2" - Faster generation
- "ray-1-6" - Legacy model
- Image generation:
- "photon-1" (default) - Best quality, slower
- "photon-flash-1" - Faster generation
- **Generation types**: Video, image, and advanced (with keyframes)
- **Aspect Ratios**: "1:1" (square), "16:9" (landscape), "9:16" (portrait), "4:3" (standard), "3:4" (standard portrait), "21:9" (ultrawide), "9:21" (ultrawide portrait)
- **States**: "queued", "dreaming", "completed", "failed"
- **Upscaling**:
- Video generations can only be upscaled when they're in a "complete" state
- Target resolution must be higher than the original generation's resolution
- Each generation can only be upscaled once
- **API Key**: Required in environment variables
- **API Version**: Uses Dream Machine API v1
## License 📄
MIT
TDQS
Scored across 10 tools
Most tools have distinct purposes, but there is some potential overlap between 'create_generation' (for video from text/image/video) and 'generate_image' (for image from text), which could cause confusion about when to use each. Otherwise, tools like 'add_audio', 'upscale_generation', and 'get_camera_motions' are clearly differentiated.
All tools follow a consistent verb_noun pattern with snake_case, such as 'create_generation', 'delete_generation', 'get_camera_motions', and 'upscale_generation'. The naming is predictable and uniform across the set.
With 10 tools, the count is well-scoped for a video/image generation API. It covers core operations like creation, retrieval, listing, deletion, and enhancement, without being overwhelming or too sparse.
The toolset provides good coverage for video and image generation workflows, including CRUD operations for generations and additional features like audio addition and upscaling. A minor gap is the lack of tools for modifying existing generations (e.g., update or edit), but agents can work around this by recreating or upscaling.