No user-submitted related servers found.
Scored across 24 tools
Each tool maps to a distinct Luw.ai model or resource, and the descriptions actively draw the boundaries (e.g. edit_image vs magic_wand for whole-image vs masked edits, interior vs exterior design). The main overlap is luw_run_model, which duplicates every dedicated tool, but it is clearly framed as a raw escape hatch for uncovered parameters.
Every tool uses the same luw_ prefix and snake_case, mostly verb_noun (expand_image, generate_video, remove_furniture). luw_personas and luw_projects are noun-named, but this is a reasonable convention for multi-action resource managers and does not break predictability.
24 tools is on the heavy side, but each corresponds to a genuinely distinct AI model or capability (video, 3D, segment, pattern, vector, etc.), so they mostly earn their place. The set is slightly large yet well-organized rather than redundant.
The surface covers the full lifecycle: generation, editing, upscaling, vectorization, segmentation, 3D, video, background removal, persona/project management, async result polling, option lookup, uploads, and a raw API fallback. No obvious dead ends for the image/video design domain.
