A
licenseA
qualityD
maintenanceEnables AI assistants to control Ableton Live through natural language by querying tracks, analyzing sessions, and exporting stems via AbletonOSC integration.
9
1
MIT
ableton-mind
by Pantani
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TDQS
A3.6/5.0
Scored across 36 tools
Disambiguation4/5
Most tools have distinct purposes, with clear domain boundaries (clip_, track_, device_, session_). However, session_snapshot and render_preview serve similar roles (deep vs lightweight snapshot), and list_recipes/list_prompts/list_resources are generic utility tools that could cause minor confusion.
Naming Consistency4/5
The naming follows snake_case with a consistent resource_verb pattern within groups (clip_, track_, device_, session_, browser_). A few tools like list_recipes and apply_recipe deviate (verb first), but overall the pattern is predictable and readable.
Tool Count4/5
36 tools is on the higher side but appropriate for Ableton Live's complexity. The toolset covers many aspects (clips, tracks, devices, browser, transport, Push, recipes, utilities). A few tools could be consolidated (e.g., list_prompts and list_resources), but the count is defensible.
Completeness2/5
Significant gaps exist: no tools for deleting clips/tracks/devices, no pan/send control, no arrangement clip editing beyond automation points, and no ability to manage return/master tracks beyond listing. These omissions will cause agent failures in common workflows.
Maintenance
ActivityInactive
ResponsivenessNo issues