ProducerMCP
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- AlicenseBqualityDmaintenanceProvides AI-powered audio generation and processing through the MusicGPT API, enabling music creation, voice conversion, audio manipulation, stem extraction, and audio analysis capabilities.2431 npm2MIT
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TDQS
Scored across 18 tools
Most tools map to a clearly distinct operation (generate vs extend vs cover vs variation vs swap_vocals vs swap_instrumentals vs replace_section vs stems), and the two generation tools explicitly cross-reference each other to disambiguate. The only soft overlap is cover_music versus variation_music, which differ mainly in degree of stylistic change rather than in mechanism.
All tools carry a uniform producer_ prefix and snake_case verb_noun style, with a shared _music suffix on the audio-mutating operations. Minor deviations appear in noun-first names like stems_music and variation_music, and get_tasks_batch is pluralized differently from get_task, but the pattern is still highly predictable.
Eighteen tools is on the heavy side but justifiable given the breadth of a music-generation platform (six distinct audio transforms plus generation, lyrics, upload, WAV, video, and task polling). A few slots are spent on reference-only helpers (list_actions, lyric format guide, list_models), which are useful for discoverability but inflate the count.
The surface covers the full generation lifecycle: prompt or lyric-driven creation, lyric generation and formatting guidance, extend/cover/variation/replace, vocal and instrumental swaps, stem separation, WAV export, video rendering, external upload, and both single and batch task polling. Gaps remain around async job management (no cancel or delete task, no list/history of prior songs) and no way to merge extended segments into one continuous track.