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Ableton for AI

peterkolbe/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 tools

Public 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_DIR

Path to the folder containing exported audio stems

PREFERRED_AUDIO_FORMAT

Audio 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:


View the full README on GitHub

Details

Repository
github.com/peterkolbe/ableton-for-ai
Category
Media & Entertainment
Package
ableton-for-ai
Transport
STDIO
Registry
MCP registry, active

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