FL Studio AI — AI Beat Maker & Music Production Engine

AI-powered beat generation, synthesis, mixing, and mastering — with MCP server integration for Claude Code and OpenCode

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What It Is

FL Studio AI is a modular Python music production system that generates complete beats, melodies, chord progressions, basslines, and synthesizer patches — no manual piano roll entry required.

It works three ways:

• MCP Server — expose music tools (generate_beat, synthesize_sound, mix_track) directly to any MCP-compatible AI assistant (Claude Code, OpenCode). Ask your AI to make a beat; it calls the server and returns MIDI data ready for FL Studio.
• REST API — Flask server on localhost:5000. HTTP endpoints for every feature, curl-friendly, integrates with any frontend or script.
• CLI / Python — Direct command-line invocation for automation and batch workflows.
• Browser DAW (studio.html) — Standalone web UI with beats, synth, drum machine, sequencer, mixer, and export — no backend required.

Status: Pre-Release v8.0 — 100+ Python modules, 20/20 core tests passing, all systems operational.

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Features (What Works Today)

Beat & Track Generation

• 15+ genre styles: trap, house, hip hop, techno, lo-fi, dubstep, drum & bass, UK drill, garage, jungle, ambient, and more
• Natural language input: python beatmaker.py make "dark trap beat in A minor 160 bpm"
• Full song structure (intro, verse, chorus, outro) via auto_creator.py
• MIDI export ready for FL Studio piano roll

Synthesis Engine

• 47+ presets across 11 categories (leads, bass, pads, plucks, keys, strings, brass, FX, bells, SFX, special)
• 5 synthesis methods: Wavetable, FM, Granular, Additive, Physical Modeling
• Additional methods: Karplus-Strong, Modal, Vector, Analog Modeling, Circuit Modeling
• ADSR envelopes, LFO modulation, filter bank, real-time arpeggiator
• 47 virtual instruments across bass, keys, pads, leads, drums, FX

Drum Machine

• 5 kits: 808, trap, house, hip hop, techno
• Polyrhythms, polymeter, swing, humanization, groove templates
• 200+ patterns, 100+ styles in the pattern library

AI Composition

• ai_melody_engine.py — neural melody and chord generation with emotion profiles
• neural_music_generator.py — LSTM-style composition with style transfer
• music_theory_engine.py — 50+ scales, 100+ chord types, voice leading
• advanced_ai_composer.py — 8 AI models: Markov Chain, LSTM, Style Transfer, Arrangement AI, and more

Mixing & Mastering

• 8-channel mixer with EQ, compression, sends/returns, metering
• Stem separator — extract drums, bass, vocals, melody from audio
• Vocal processor — pitch, harmonizer, vocoder
• Mastering engine — 6 modes: analog, modern, vinyl, cassette, tape, digital. LUFS normalization
• Effects rack — EQ, compressor, saturator, delay, reverb, chorus, flanger, phaser, distortion
• Sidechain compression with envelope shaping

Analysis Tools

• BPM detection, key detection, pitch tracking
• FFT spectrum analysis
• Audio format converter

Creative / Esoteric (Early / Experimental)

• esoteric_music_engine.py — sacred geometry tuning, 528Hz Solfeggio frequencies, Solfeggio healing, binaural beat generation
• music_color_cymatics.py — frequency-to-color mapping, cymatic pattern visualization

Browser DAW (studio.html)

• Single-file, zero-install — open in any browser
• Tabs: Beats, Synth, Drums, Sequencer, Mixer, Export, Settings
• Piano roll canvas, real-time audio via Web Audio API
• LLM prompt-to-music (connects to Ollama / Groq / OpenAI / Anthropic / Gemini via settings)
• MIDI / WAV export

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Quick Start

1. Start the API Server

python flstudio_ai_api.py
# Server runs at http://localhost:5000

2. Generate a Beat (CLI)

# Style + tempo + bars
python beatmaker.py generate trap 150 16

# Natural language
python beatmaker.py make "dark lofi beat in A minor"

# Full production (structure + mix + master)
python auto_creator.py

3. Use the Browser DAW (no server needed)

Open studio.html in your browser

4. Start the MCP Server (for Claude Code / OpenCode)

python flstudio_mcp_server_v2.py
# or
START_FLSTUDIO_MCP.bat

Then ask your AI assistant:

"Make a trap beat at 160 BPM in A minor"
"Generate a chord progression in D minor"
"Start playback in FL Studio"

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MCP Tools

When the MCP server is running at localhost:5000, these tools are available to any MCP client:

Tool	Description
generate_track	Full track — drums, bass, melody, chords
generate_drums	Drum pattern in any style
generate_bass	Bassline with scale and pattern
generate_melody	Melody with scale and rhythm density
generate_chords	Chord progression with voicing
flstudio_play	Start FL Studio playback
flstudio_stop	Stop playback
flstudio_record	Toggle recording
flstudio_new_pattern	Create new pattern
flstudio_piano_roll	Open piano roll
get_note_data	Retrieve all note data
get_midi_notes	Retrieve MIDI format note data

Example call:

POST /mcp/call
{
  "tool": "generate_track",
  "arguments": {
    "style": "trap",
    "tempo": 150,
    "key": 57,
    "scale": "minor",
    "bars": 16
  }
}

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REST API Reference

# Generate a full track
curl -X POST http://localhost:5000/generate/track \
  -H "Content-Type: application/json" \
  -d '{"style":"house","key":60,"scale":"minor","bars":8,"tempo":128}'

# Generate drums only
curl -X POST http://localhost:5000/generate/drums \
  -d '{"style":"trap","bars":2}'

# Analyze key + BPM
curl -X POST http://localhost:5000/analyze/key
curl -X POST http://localhost:5000/analyze/bpm

# Mastering suggestion
curl http://localhost:5000/master/suggest

Key endpoints: /generate/track · /generate/drums · /generate/bass · /generate/melody · /generate/chords · /generate/arps · /analyze/key · /analyze/bpm · /automation/volume · /samples/search · /creative/variations · /creative/fills

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Tech Stack

Layer	Technology
Language	Python 3.8+
API server	Flask
Audio	numpy, scipy (DSP), soundfile
MIDI	python-midi, mido
MCP protocol	HTTP/JSON (Model Context Protocol)
FL Studio bridge	OSC (python-osc), pyautogui
Browser DAW	Vanilla HTML/CSS/JS, Web Audio API
AI composition	Custom Markov Chain, LSTM-style, style transfer
LLM integration	Ollama (local), Groq, OpenAI, Anthropic, Gemini (optional)

Dependencies (install once):

pip install flask python-osc pyautogui numpy scipy soundfile mido

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Verification & Tests

# Quick test all 19 core modules
python debug_verify.py

# Comprehensive test suite (20/20)
python final_test_100.py

# End-to-end production test
python e2e_test.py

# Extended test suite
python test_suite_v2.py

Individual module tests:

python test_synth_quick.py
python test_mixer_quick.py
python test_analysis_quick.py

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Project Structure

AI FL STUDIO BUILD/
├── flstudio_ai_api.py          Main REST API (Flask, port 5000)
├── flstudio_mcp_server_v2.py   MCP protocol server (AI IDE integration)
├── beatmaker.py                Simple CLI beat generator
├── auto_creator.py             Full song generation
├── studio.html                 Browser DAW (single-file, no server needed)
├── launcher.py / launcher_web.html  Launcher UI
│
├── super_engine.py             Beat generation, 15+ styles
├── ai_melody_engine.py         Neural melody composition
├── neural_music_generator.py   LSTM-style + style transfer
├── music_theory_engine.py      50+ scales, 100+ chord types
├── advanced_synth.py           47+ presets, 5 synthesis methods
├── extensive_synth_engine.py   7 extended synthesis methods
├── drum_machine_v3.py          5 kits + patterns + fills
├── mixer_v3.py                 8-channel mixer
├── mastering_engine.py         6 mastering modes + LUFS
├── effects_rack.py             9-effect chain
├── stem_separator.py           Drum/bass/vocal/melody extraction
├── audio_analyzer.py           BPM, key, FFT spectrum
├── esoteric_music_engine.py    Sacred geometry, 528Hz, binaural (experimental)
├── music_color_cymatics.py     Frequency-to-color visualization (experimental)
│
├── audio/                      Audio assets and samples
├── exports/                    Generated MIDI and audio outputs
├── presets/                    Sound presets and configurations
│
└── 00 INDEX.md – 22 MODULATION.md   22 reference documentation files

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Roadmap

• Direct FL Studio OSC write-back (patterns → FL Studio in real-time)
• Persistent project save/load (.flp-adjacent format)
• SHADDAI Orchestration Layer (SOL) — 7-agent AI council controlling the music engine
• Pattern learning from user history (23 PATTERN LEARNING.md)
• Mobile-optimized browser DAW
• HuggingFace Spaces demo deployment
• VST plugin wrapper (long-term)

Early/experimental modules are marked in the Features section above. The core generation, synthesis, mixing, and API pipeline is operational.

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License

MIT — Use freely. Build legacy.

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Built by IzzoSol  ·  @shaddaiAI  ·  Part of the ⚡ SHADDAI ecosystem