A
licenseB
qualityB
maintenanceConnects Ableton Live to AI through MCP, enabling prompt-assisted music production with extended tools and a 33-personality style system for generating parts in various artist styles.
62
3
MIT
ableton-auto-mix-mcp
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TDQS
A4.2/5.0
Scored across 10 tools
Disambiguation4/5
Most tools have clearly distinct purposes: querying status, listing/fetching styles, analyzing audio in two forms, auto-mixing, previewing, suggesting styles, analyzing conflicts, and release checking. The two analyze tools (analyze_audio vs analyze_render_dir) could be confused at first glance, but descriptions clearly differentiate single-file vs directory batch, so boundary is well-defined.
Naming Consistency5/5
All tool names follow a consistent verb_noun snake_case pattern: get_ableton_status, list_styles, get_style, analyze_audio, analyze_render_dir, auto_mix, preview_mix, suggest_style, analyze_conflicts, release_check. There are no deviations in style or mixed conventions.
Tool Count5/5
Ten tools is firmly in the well-scoped range for an audio mixing server. Each tool maps to a distinct workflow step (discover, analyze, suggest, preview, apply, verify), and none feels redundant or placeholder.
Completeness4/5
The surface covers the full workflow: style discovery, audio analysis, auto-mixing, offline preview, style suggestion, conflict diagnostics, and a final release gate. Minor gaps include the absence of a tool to apply or revert individual mix corrections outside of auto_mix, and no explicit way to manage/edit style profiles—but these are secondary to the core mixing workflow.
Maintenance
ActivityMaintained
ResponsivenessNo issues