mlx-serve-mcp
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TDQS
Scored across 10 tools
Each tool targets a distinct modality or administrative action: TTS, music, video, 3D, image generation, image editing, health check, and model management. No two tools overlap in purpose, and even the two audio tools are clearly separated by speech vs. music.
The set mostly follows a verb_noun pattern: generate_music, generate_video, generate_image, edit_image, list_models, load_model, unload_model. text_to_speech breaks the pattern slightly, but it is still readable and the deviation is minor.
Ten tools is well-scoped for a media-generation server: creative generation/edit tools, TTS, and operational tools for health and model management. Each tool earns its place and none feel redundant.
Core media generation workflows are well covered: image generation/edit, video, music, TTS, and 3D mesh generation, plus model lifecycle management. The main gap is that list_models advertises chat/vision capability, but no chat or vision tool is exposed, leaving that part of mlx-serve unreachable.