suno-cli 2026.7.29.0

CLI tool for Suno AI Music Generation via AceDataCloud API

Suno CLI

A command-line tool for AI music generation using Suno through the AceDataCloud API.

Generate AI music, lyrics, and manage audio projects directly from your terminal — no MCP client required.

Features

• Music Generation — Generate from prompts, custom lyrics, extend, cover, remaster, concat
• Lyrics — Generate lyrics, mashup, optimize style descriptions
• Media Conversion — Get MP4, WAV, MIDI, timing, extract vocals
• Task Management — Query tasks, batch query, wait with polling
• Rich Output — Beautiful terminal tables and panels via Rich
• JSON Mode — Machine-readable output with --json for piping
• File Input — Read lyrics from files with @filename syntax

Quick Start

1. Get API Token

Get your API token from AceDataCloud Platform:

1. Sign up or log in
2. Navigate to Suno Audios API
3. Click "Acquire" to get your token

2. Install

# Install with pip
pip install suno-cli

# Or with uv (recommended)
uv pip install suno-cli

# Or from source
git clone https://github.com/AceDataCloud/SunoCli.git
cd SunoCli
pip install -e .

3. Configure

# Set your API token
export ACEDATACLOUD_API_TOKEN=your_token_here

# Or use .env file
cp .env.example .env
# Edit .env with your token

4. Use

# Generate music from a prompt
suno generate "A happy birthday song with acoustic guitar"

# Generate with custom lyrics
suno custom -l "[Verse]\nHello world\n[Chorus]\nLa la la" -t "Hello" -s "pop, upbeat"

# Read lyrics from a file
suno custom -l @lyrics.txt -t "My Song" -s "rock, powerful"

# Generate lyrics
suno lyrics "A love song about the ocean at sunset"

# Check task status
suno task <task-id>

# Wait for completion with polling
suno wait <task-id> --interval 5

# Get MP4 video
suno mp4 <audio-id>

# List available models
suno models

Commands

Music Generation

Command	Description
suno generate <prompt>	Generate music from a text prompt (Inspiration Mode)
suno custom	Generate with custom lyrics, title, and style
suno extend <audio_id>	Extend an existing song from a timestamp
suno cover <audio_id>	Create a cover/remix version
suno remaster <audio_id>	Remaster a song to improve quality
suno concat <audio_id>	Merge extended segments into complete audio
suno generate-persona <audio_id>	Generate music using a saved persona
suno generate-persona-vox <audio_id>	Generate music using a persona's vocal style
suno stems <audio_id>	Separate a song into vocals + instrumental
suno all-stems <audio_id>	Separate a song into all individual stems
suno replace-section <audio_id>	Replace a time range with new content
suno upload-extend <audio_id>	Extend uploaded audio with AI continuation
suno upload-cover <audio_id>	Create a cover of uploaded audio
suno mashup <id1> <id2>...	Blend multiple songs into a mashup
suno underpainting <audio_id>	Add AI accompaniment to uploaded audio
suno overpainting <audio_id>	Add AI vocals to uploaded audio
suno samples <audio_id>	Add AI samples to uploaded audio

Lyrics

Command	Description
suno lyrics <prompt>	Generate song lyrics from a prompt
suno mashup-lyrics	Generate mashup lyrics from two sources
suno optimize-style <prompt>	Optimize a style description

Media Conversion

Command	Description
suno mp4 <audio_id>	Get MP4 video version
suno wav <audio_id>	Get lossless WAV format
suno midi <audio_id>	Get MIDI data
suno timing <audio_id>	Get timing/subtitle data
suno vocals <audio_id>	Extract vocal track

Task Management

Command	Description
suno task <task_id>	Query a single task status
suno tasks <id1> <id2>...	Query multiple tasks at once
suno wait <task_id>	Wait for task completion with polling

Utilities

Command	Description
suno persona <audio_id>	Create a saved voice style
suno personas	List saved voice styles
suno persona-delete <persona_id>	Delete a saved voice style
suno voice <audio_url>	Create a voice style from an external voice recording
suno upload <audio_url>	Upload external audio for processing
suno models	List available Suno models
suno actions	List available API actions
suno lyric-format	Show lyrics formatting guide
suno config	Show current configuration

Global Options

--token TEXT    API token (or set ACEDATACLOUD_API_TOKEN env var)
--version       Show version
--help          Show help message

Most commands support:

--json          Output raw JSON (for piping/scripting)
--model TEXT    Suno model version (default: chirp-v4-5)

Scripting & Piping

The --json flag outputs machine-readable JSON suitable for piping:

# Generate and extract task ID
TASK_ID=$(suno generate "rock song" --json | jq -r '.task_id')

# Wait for completion and get audio URL
suno wait $TASK_ID --json | jq -r '.data[0].audio_url'

# Batch generate from a file of prompts
while IFS= read -r prompt; do
  suno generate "$prompt" --json >> results.jsonl
done < prompts.txt

Available Models

Model	Version	Max Duration	Notes
chirp-v5-5	V5.5	8 min	Latest, best quality
chirp-v5	V5	8 min	High quality
chirp-v4-5-plus	V4.5+	8 min	Enhanced quality
chirp-v4-5	V4.5	4 min	Vocal gender control (default)
chirp-v4	V4	150s	Stable
chirp-v3-5	V3.5	120s	Fast
chirp-v3-0	V3	120s	Legacy

Configuration

Environment Variables

Variable	Description	Default
ACEDATACLOUD_API_TOKEN	API token from AceDataCloud	Required
ACEDATACLOUD_API_BASE_URL	API base URL	https://api.acedata.cloud
SUNO_DEFAULT_MODEL	Default model	chirp-v4-5
SUNO_REQUEST_TIMEOUT	Timeout in seconds	1800

Development

Setup Development Environment

# Clone repository
git clone https://github.com/AceDataCloud/SunoCli.git
cd SunoCli

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # or `.venv\Scripts\activate` on Windows

# Install with dev dependencies
pip install -e ".[dev,test]"

Run Tests

# Run unit tests
pytest

# Run with coverage
pytest --cov=suno_cli

# Run integration tests (requires API token)
pytest tests/test_integration.py -m integration

Code Quality

# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy suno_cli

Build & Publish

# Install build dependencies
pip install -e ".[release]"

# Build package
python -m build

# Upload to PyPI
twine upload dist/*

Docker

# Pull the image
docker pull ghcr.io/acedatacloud/suno-cli:latest

# Run a command
docker run --rm -e ACEDATACLOUD_API_TOKEN=your_token \
  ghcr.io/acedatacloud/suno-cli generate "A happy song"

# Or use docker-compose
docker compose run --rm suno-cli generate "A happy song"

Project Structure

SunoCli/
├── suno_cli/               # Main package
│   ├── __init__.py
│   ├── __main__.py        # python -m suno_cli entry point
│   ├── main.py            # CLI entry point
│   ├── core/              # Core modules
│   │   ├── client.py      # HTTP client for Suno API
│   │   ├── config.py      # Configuration management
│   │   ├── exceptions.py  # Custom exceptions
│   │   └── output.py      # Rich terminal formatting
│   └── commands/          # CLI command groups
│       ├── generate.py    # Music generation commands (12 commands)
│       ├── lyrics.py      # Lyrics & style commands
│       ├── media.py       # Media conversion commands
│       ├── persona.py     # Persona & upload commands
│       ├── task.py        # Task management commands
│       └── info.py        # Info & utility commands
├── tests/                  # Test suite (80+ tests)
├── .github/workflows/      # CI/CD (lint, test, publish to PyPI)
├── Dockerfile             # Container image
├── deploy/                # Kubernetes deployment configs
├── .env.example           # Environment template
├── pyproject.toml         # Project configuration
└── README.md

Suno CLI vs MCP Suno

Feature	Suno CLI	MCP Suno
Interface	Terminal commands	MCP protocol
Usage	Direct shell, scripts, CI/CD	Claude, VS Code, MCP clients
Output	Rich tables / JSON	Structured MCP responses
Automation	Shell scripts, piping	AI agent workflows
Install	pip install suno-cli	pip install mcp-suno

Both tools use the same AceDataCloud API and share the same API token.

API Reference

This tool wraps the AceDataCloud Suno API:

• Suno Audios API — Music generation
• Suno Lyrics API — Lyrics generation
• Suno Tasks API — Task queries
• Suno Persona API — Persona management

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing)
5. Open a Pull Request

License

MIT License - see LICENSE for details.

Links

• AceDataCloud Platform
• MCP Suno — MCP server version
• Suno Official

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Made with ❤️ by AceDataCloud