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Glama
Hanyuyu

ImgLume MCP

by Hanyuyu

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_galleryA

Search the ImgLume visual inspiration gallery. Use when the user wants ideas, references, styles, examples, or has not yet settled on a visual direction. Results include preview images and IDs.

get_inspirationA

Get the full prompt, preview media, recommendations, and attribution for one result returned by search_gallery.

enhance_promptA

Turn a short visual idea into a stronger generation prompt using the current host model. This tool returns concise guidance rather than calling another AI service.

list_modelsA

List the image and video models currently available from ImgLume, including supported quality, aspect-ratio, and live credit-cost values. Use when model choice, capability, or cost matters.

generate_imageA

Generate or edit one image with ImgLume. For edits, pass the source image URL or local file path in referenceImages and keep the prompt focused on the requested change. Omit model, quality, or aspectRatio to use live ImgLume defaults.

generate_videoB

Generate one video with ImgLume. Pass a reference image URL or local path for image-to-video. Omit model, quality, or aspectRatio to use live ImgLume defaults.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.1/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: searching, retrieving inspiration, enhancing prompts, listing models, and generating images or videos. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case (e.g., search_gallery, generate_image), making it easy to predict tool behavior.

Tool Count5/5

Six tools cover the essential workflow of visual inspiration and generation: search, get details, enhance prompt, list models, generate image/video. The count is well-scoped for this domain.

Completeness5/5

The tool set provides a complete lifecycle for visual generation: inspiration discovery, prompt refinement, model selection, and generation of images or videos. No obvious gaps.

Maintenance

ActivitySlowing
ResponsivenessNo issues