
Ableton for AI
Bridges Ableton Live to MCP clients via AbletonOSC, giving AI assistants real-time access to your DAW session. Exposes tools to query project state (tempo, tracks, device chains), analyze exported stems (LUFS, spectrograms, transients), and remotely control mixing (volume, panning, device parameters). Useful for getting automated mix feedback, inspecting EQ and compressor settings across tracks, or debugging frequency clashes without manually scanning through your project. Requires you to export stems manually since Ableton's OSC API doesn't trigger renders, but once they're in place, the AI can run spectral analysis and provide detailed technical assessments. Works with Claude Desktop, Cursor, or any MCP-compatible client.
- tool
- 1
- transport
- STDIO
- env vars
- 2
- last updated
- Apr 29, 2026
Tools
1 toolsPublic tool metadata for what this MCP can expose to an agent.
analyze_stemsLooks for audio files in the STEMS_SOURCE_DIR folder for audio analysis.
Looks for audio files in the STEMS_SOURCE_DIR folder for audio analysis.
No parameter schema in public metadata yet.
Sponsors
Configuration
STEMS_SOURCE_DIRPath to the folder containing exported audio stems
PREFERRED_AUDIO_FORMATAudio format of your stems (wav or mp3)
Readme
Ableton for AI
[!IMPORTANT] For AI Agents: Please read AGENTS.md for detailed technical context and protocol specifications before working on this project.
Ableton for AI is the bridge between your DAW and AI models. It makes Ableton projects hearable and visible to AI models by implementing the Model Context Protocol (MCP) and exporting detailed project data.
What can it do?
Connect Ableton Live directly to MCP-capable AI clients (like Claude Desktop, Cursor, or Cline). The AI can inspect, analyze, and even modify your project in real-time.
Included Tools:
Details
- Repository
- github.com/peterkolbe/ableton-for-ai
- Category
- Media & Entertainment
- Package
ableton-for-ai- Transport
- STDIO
- Registry
- MCP registry, active