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Glama
bobtista

mcp-luma-dream-machine

by bobtista

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

NameDescription
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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.8/5.0

Scored across 10 tools

Disambiguation4/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness4/5

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.

Maintenance

ActivityInactive
ResponsivenessNo issues