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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

A powerful MCP server that enables Claude Desktop to control Ableton Live for automated music production, specializing in techno and industrial music generation.

README.md

AbletonMCP - AI Music Assistant for Ableton Live

A powerful MCP (Model Context Protocol) server that enables Claude Desktop to control Ableton Live for automated music production, specializing in techno and industrial music generation.

Features

  • Natural Language Music Production: Create complete tracks from text prompts
  • Genre-Specific AI: Specialized in techno and industrial music styles
  • Real-time Ableton Control: Full integration with Ableton Live via OSC
  • Intelligent Composition: AI-powered melody, harmony, and rhythm generation
  • Professional Transport Control: Play, stop, tempo control, and project management

Prerequisites

  • Python 3.10 or higher
  • Ableton Live 11 Suite (or higher)
  • Claude Desktop application
  • At least 4GB RAM for music production

Step-by-Step Setup Guide

Step 1: Install Python Dependencies

# Navigate to the project directory
cd AbletonMCP

# Install required packages
pip install -r requirements.txt

Step 2: Install AbletonOSC Remote Script

Run the automated installer:

python install_ableton_osc.py

If the automated installer fails, install manually:

  1. Download AbletonOSC: https://github.com/ideoforms/AbletonOSC/archive/refs/heads/main.zip
  2. Extract the ZIP file
  3. Copy the AbletonOSC-main folder to your Ableton Remote Scripts directory:
  • macOS: ~/Music/Ableton/User Library/Remote Scripts/
  • Windows: %USERPROFILE%/Documents/Ableton/User Library/Remote Scripts/
  • Linux: ~/ableton/User Library/Remote Scripts/
  1. Rename the folder from AbletonOSC-main to AbletonOSC

Step 3: Configure Ableton Live 11 Suite

  1. Open Ableton Live 11 Suite
  2. Go to Live → Preferences (macOS) or Options → Preferences (Windows)
  3. Click on the Link/Tempo/MIDI tab
  4. In the Control Surface section:
  • Set the first dropdown to "AbletonOSC"
  • Leave Input and Output set to "None"
  1. Click OK to save settings
  2. Restart Ableton Live completely

Step 4: Test Your Setup

Test AI Composition (No Live Required): ```bash

Test the AI composition engine offline

python examples/offline_demo.py ```

Test Full System (Requires Live Running): ```bash

Run the comprehensive test suite

python test_server.py ```

You should see:

  • ✅ Project Structure test passed
  • ✅ Composition Handler test passed
  • ✅ OSC Connection test passed (requires Live to be running)
  • ✅ MCP Tools test passed

If OSC tests fail:

  • Make sure Ableton Live 11 Suite is running
  • Verify AbletonOSC is selected in Live's MIDI preferences
  • Check that ports 11000/11001 aren't blocked by firewall
  • The offline demo should still work perfectly!

Step 5: Start the MCP Server

python -m mcp_server.main

You should see output like: `` 🎵 Starting AbletonMCP Server... ✅ AbletonTools connected successfully INFO: MCP Server listening on stdio... ``

Keep this terminal window open - the server needs to run continuously.

Step 6: Configure Claude Desktop

  1. Quit Claude Desktop completely if it's running
  2. Open your Claude Desktop configuration file:
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json
  1. Find your Python executable path:
which python

This will show the full path to your Python installation (e.g., /Users/yourname/anaconda3/bin/python or /opt/homebrew/bin/python3).

  1. Create or edit the claude_desktop_config.json file with this content:
{
  "mcpServers": {
    "ableton-mcp": {
      "command": "/full/path/to/your/python",
      "args": ["-m", "mcp_server.main"],
      "cwd": "/full/path/to/your/AbletonMCP",
      "env": {
        "PYTHONPATH": "/full/path/to/your/AbletonMCP"
      }
    }
  }
}

Important:

  • Replace /full/path/to/your/python with the result from which python command
  • Replace /full/path/to/your/AbletonMCP with the actual full path to your AbletonMCP project directory (appears twice)
  • The PYTHONPATH environment variable is crucial for Python to find the mcp_server module
  • Use absolute paths, not relative paths like python or ~/
  1. Save the file and restart Claude Desktop

Step 7: Verify Connection in Claude Desktop

  1. Open Claude Desktop
  2. Start a new conversation
  3. You should see "AbletonMCP" listed in the server connections at the bottom
  4. If it shows as connected, you're ready to make music!

Example Prompts - Test All Features

Basic Transport Control

Try these prompts in Claude Desktop:

1. Test Connection `` Ping Ableton Live to test the connection ``

2. Tempo Control `` Set the tempo to 132 BPM ``

3. Transport Control `` Start playback ` ` Stop playback after 8 seconds ``

Track Management

4. Create Basic Tracks `` Create a MIDI track called "Kick Drum" ` ` Create a MIDI track called "Bass Synth" ` ` Create an audio track called "Percussion" ` ` Create a return track called "Industrial Reverb" ``

AI Music Generation

5. Generate Chord Progressions `` Generate a chord progression in A minor for industrial techno, 8 bars long ` ` Generate a chord progression in D minor for minimal techno, 4 bars ``

6. Create Drum Patterns `` Create an industrial drum pattern for 4 bars ``

7. Complete Song Generation `` Create a 64-bar industrial techno song at 132 BPM in A minor ``

Advanced Features

8. Project Information `` Get information about the current Ableton Live session ``

9. Tempo Variations `` Set tempo to 128 BPM for underground techno ` ` Set tempo to 140 BPM for hard techno ``

Complex Compositions

10. Full Production Workflow `` Create a complete techno track: Set tempo to 132 BPM, create kick, bass, lead, and percussion tracks, then generate an industrial techno song structure for 64 bars in A minor. Add atmospheric elements and start playback to preview. ``

Expected Results in Ableton Live

When you run these prompts, you should see:

  1. Transport changes: BPM adjustments, play/stop states
  2. New tracks appearing: Named tracks in the Session View
  3. MIDI clips generated: Containing chord progressions and patterns
  4. Console feedback: Success messages in both Claude and the MCP server terminal

Troubleshooting

"Could not connect to Ableton Live"

  • ✅ Ensure Ableton Live is running
  • ✅ Verify AbletonOSC is installed and enabled
  • ✅ Check Live's MIDI preferences show "AbletonOSC" selected
  • ✅ Restart both Live and the MCP server

"MCP Server not found in Claude Desktop"

  • ✅ Check the config.json path is correct for your OS
  • ✅ Verify the "cwd" path points to your AbletonMCP directory
  • ✅ Make sure to restart Claude Desktop after config changes
  • ✅ Check Claude Desktop's console for error messages

"Permission denied" or import errors

  • ✅ Run pip install -r requirements.txt
  • ✅ Use Python 3.10 or higher
  • ✅ Consider using a virtual environment

Music generation not working as expected

  • ✅ This is Phase 1 - basic functionality
  • ✅ Try different musical keys (Am, Dm, Em, Gm)
  • ✅ Experiment with different BPM ranges (120-150)
  • ✅ Use genre keywords: "industrial", "minimal", "underground"

Next Steps

Once everything is working:

  1. Experiment with different musical styles and BPMs
  2. Combine prompts for complex arrangements
  3. Use Live's tools to further refine the AI-generated content
  4. Save your projects in Ableton Live as usual

What's Working in Phase 1

Transport Control - Play/stop, tempo setting ✅ Track Creation - MIDI, audio, and return tracks ✅ AI Chord Progressions - Genre-specific harmony generation ✅ Basic Song Structures - Multi-section arrangements ✅ OSC Communication - Real-time Live control ✅ Music Theory Integration - Coherent musical output

Project Structure

  • mcp_server/ - MCP server implementation
  • ableton_control/ - OSC and Ableton Live API wrapper
  • music_ai/ - AI composition and generation engine
  • audio_processing/ - Audio analysis and processing tools
  • knowledge_base/ - Music theory and genre-specific data
  • samples/ - Audio content library
  • tests/ - Test suite

Development

Install development dependencies: ``bash pip install -r requirements.txt ``

Run tests: ``bash pytest ``

Format code: ``bash black . && isort . ``

License

MIT License - see LICENSE file for details.

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