A
licenseNot graded
qualityB
maintenanceAI-powered music production toolkit enabling AI agents to generate, remix, separate stems, master tracks, and control DAWs via MCP.
1
MIT
Orpheus
by mal0ware
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TDQS
B3.4/5.0
Scored across 32 tools
Disambiguation5/5
Each tool has a clearly distinct purpose, from analysis (analyze_audio_character, analyze_groove) to editing (transpose_notes, quantize_notes) and application (apply_changes, apply_master_match). No overlapping functionality; even similar actions like rendering are differentiated by scope (project, stems, audit).
Naming Consistency5/5
All 32 tools follow a consistent verb_noun naming pattern with underscores, e.g., create_track, get_project_info, set_tempo. Verbs are reused predictably (analyze_, get_, set_, render_) making the API easy to navigate.
Tool Count2/5
At 32 tools, the server is over-scoped for typical use. While each tool is justified by its description, the sheer number increases cognitive load and selection complexity. A leaner set (around 20) would be more manageable.
Completeness4/5
Covers a broad domain: project info, MIDI operations, FX management, transport, analysis, and recommendations. Minor gaps exist (e.g., explicit parameter automation, audio item editing), but core workflows for the Orpheus intelligent assistant are well-supported.