elevenlabs-mcp
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TDQS
Scored across 11 tools
Each tool targets a distinct resource or operation: subscription, models, own voices, shared library search/add, single-voice TTS, multi-voice dialogue, music, SFX, assembly, and outputs. The only potential overlap (text_to_speech vs text_to_dialogue) is explicitly clarified by the descriptions.
Names are consistently snake_case and mostly follow a verb_noun pattern (list_models, text_to_speech, compose_music, add_library_voice). The one minor deviation is sound_effect, which is noun-only rather than verb-led, but it remains predictable.
11 tools is well-scoped for an audio production server. Each tool covers a discrete stage from subscription checking and voice discovery through generation, assembly, and output listing.
Core podcast/audio workflow is covered: quota check, model/voice discovery, library addition, TTS/dialogue/music/SFX generation, episode assembly, and output listing. Missing voice cloning/design operations (implied by list_voices description) and delete/update voice or output management, but these are minor for the primary use case.