A
licenseNot graded
qualityD
maintenanceAn MCP server that gives AI agents the ability to listen to and understand music/audio files, enabling semantic analysis, stem separation, lyrics transcription, and signal processing via tool calls.
1
MIT
ofaudio-mcp
by DuragonYama
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TDQS
A3.7/5.0
Scored across 33 tools
Disambiguation2/5
Several voice-related tools have overlapping responsibilities, such as preview_voices vs search_voice_library and add_speaker_from_library vs add_library_voice. These overlaps create ambiguous boundaries, even with detailed descriptions, making it hard for an agent to pick the correct tool confidently.
Naming Consistency4/5
The majority of tools follow a clear verb_noun pattern (generate_*, list_*, save_*, delete_*). Minor deviations include standalone verbs like 'speak' and 'transcribe', plus noun-based names like 'account_status' and 'forced_alignment', but the overall style is recognizable and mostly consistent.
Tool Count2/5
With 33 tools, the server feels overloaded. Many are small variations on voice management (add, save, list, preview, search, clone, delete), inflating the count well beyond the typical 3-15 tool range for a focused server.
Completeness4/5
The domain is broad and well covered: music and speech generation, voice cloning/design/library management, speech customization (profiles, speakers, pronunciation), transcription, forced alignment, noise isolation, voice conversion, and job tracking. Minor gaps include no delete for speakers/profiles, but these can be worked around by overwriting.
Maintenance
ActivityMaintained
ResponsivenessNo issues