trident-mcp
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TDQS
Scored across 28 tools
Each generation tool is keyed to a distinct input/output modality (text_to_model, image_to_model, multiview_to_model, image_to_splat, text_to_image, etc.), so selection is usually unambiguous. The only mild overlaps are segment_mesh vs smart_segment, and get_task vs get_tasks vs get_usage, which all retrieve task/credit info but are differentiated in their descriptions.
All names use snake_case and are consistently readable, with a recurring verb_noun or source_to_target structure. Minor deviation in that many tools use a 'source_to_target' convention (text_to_model) rather than a leading verb (generate_model), but this is coherent across the set.
At 28 tools the set is on the heavy side, sitting in the borderline-heavy band. Most tools correspond to genuine distinct pipeline operations (generation, texturing, rigging, UV, segmentation, conversion, credits), so each earns its place, but the volume is high enough to feel sprawling.
The surface covers the full 3D asset lifecycle: image/mesh generation, multiview, texturing, retopology, UV unwrap, segmentation, rigging, animation retargeting, conversion, download and credit checks. The notable gap is task management — there is no cancel/delete/cleanup operation for failed or unwanted tasks.