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audiomancer

MCP server for AI-assisted music production with TidalCycles. Manage sample libraries, analyze audio, generate patterns, and enable AI-driven live coding workflows.

Features

  • AI-powered sample library management - Browse and enable sample packs from your sample library via conversation
  • Smart pattern generation - Generate TidalCycles patterns using your actual enabled samples, not generic names
  • Semantic sample search - Find similar samples using audio embeddings and ML-based similarity
  • Comprehensive audio analysis - Extract BPM, key, spectral features, and tonal information from any audio file
  • SuperCollider integration - Parse SynthDefs and generate patterns with custom synths
  • Project-aware configuration - Auto-detect projects with hierarchical config inheritance

Quick Start

# Clone and install
git clone https://github.com/axiomantic/audiomancer
cd audiomancer
pip install -e ".[dev]"

# Create a new TidalCycles project
audiomancer init

# Check dependencies
audiomancer doctor

# Start MCP server
audiomancer serve

Documentation

Full documentation: axiomantic.github.io/audiomancer

Includes:

  • Installation guides
  • Complete MCP tool reference
  • TidalCycles integration workflows
  • Python API documentation
  • Configuration system details
  • Development and testing guides

License

MIT