All Voice Lab MCP Server
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TDQS
Scored across 12 tools
Most tools have distinct purposes, but some overlap exists: subtitle_extraction and remove_subtitle both process subtitles with similar arguments, and video_translation_dubbing overlaps with video_dubbing (implied but not listed) and text_translation. Descriptions help differentiate, but an agent might confuse related subtitle/video tools.
Naming is mostly consistent with a verb_noun pattern (e.g., clone_voice, remove_subtitle, get_voices), but there are minor deviations like subtitle_extraction (noun_verb) and speech_to_speech (noun_to_noun). Overall, the pattern is readable and predictable with only slight inconsistencies.
With 12 tools, the count is well-scoped for a voice and video processing server. It covers core operations like voice cloning, text-to-speech, dubbing, and subtitle handling without being overwhelming, and each tool appears to serve a distinct role in the domain.
The tool set covers key workflows for voice and video processing, including creation (clone_voice), transformation (speech_to_speech, text_to_speech), and status checking (get_dubbing_info). Minor gaps exist, such as no explicit delete_voice or update_voice tools, but agents can likely work around these with the provided operations.