mcp-luma-dream-machine
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| pingB | Check if the Luma API is running |
| create_generationC | Creates a new video generation from text, image, or existing video |
| get_generationC | Gets the status of a generation |
| list_generationsD | Lists all generations |
| delete_generationC | Deletes a generation |
| upscale_generationC | Upscales a video generation to higher resolution |
| add_audioC | Adds audio to a video generation |
| generate_imageC | Generates an image from a text prompt |
| get_creditsB | Gets credit information for the current user |
| get_camera_motionsB | Gets all supported camera motions |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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.