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MCP Suno

Python 3.10+ License: MIT MCP

A Model Context Protocol (MCP) server for AI music generation using Suno through the AceDataCloud API.

Generate AI music, lyrics, and manage audio projects directly from Claude, VS Code, or any MCP-compatible client.

Features

  • Music Generation - Create AI-generated songs from text prompts
  • Custom Lyrics & Style - Full control over lyrics, title, and music style
  • Song Extension - Continue existing songs from any timestamp
  • Cover/Remix - Create cover versions with different styles
  • Lyrics Generation - Generate structured lyrics from descriptions
  • Persona Management - Save and reuse voice styles
  • Task Tracking - Monitor generation progress and retrieve results

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

# Clone the repository
git clone https://github.com/AceDataCloud/mcp-suno.git
cd mcp-suno

# Install with pip
pip install -e .

# Or with uv (recommended)
uv pip install -e .

3. Configure

# Copy example environment file
cp .env.example .env

# Edit with your API token
echo "ACEDATACLOUD_API_TOKEN=your_token_here" > .env

4. Run

# Run the server
mcp-suno

# Or with Python directly
python main.py

Claude Desktop Integration

Add to your Claude Desktop configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "suno": {
      "command": "mcp-suno",
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_api_token_here"
      }
    }
  }
}

Or if using uv:

{
  "mcpServers": {
    "suno": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/mcp-suno", "mcp-suno"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_api_token_here"
      }
    }
  }
}

Available Tools

Music Generation

Tool Description
generate_music Generate music from a text prompt (Inspiration Mode)
generate_custom_music Generate with custom lyrics, title, and style
extend_music Extend an existing song from a timestamp
cover_music Create a cover/remix version
concat_music Merge extended segments into complete audio
generate_with_persona Generate using a saved voice style

Lyrics

Tool Description
generate_lyrics Generate song lyrics from a prompt

Persona

Tool Description
create_persona Save a voice style for reuse

Tasks

Tool Description
get_task Query a single task status
get_tasks_batch Query multiple tasks at once

Information

Tool Description
list_models List available Suno models
list_actions List available API actions
get_lyric_format_guide Get lyrics formatting guide

Usage Examples

Generate Music from Prompt

User: Create a happy birthday song

Claude: I'll generate a birthday song for you.
[Calls generate_music with prompt="A happy birthday celebration song"]

Generate with Custom Lyrics

User: Create a rock song with these lyrics:
[Verse]
Thunder in the night
Electric soul ignite
[Chorus]
We are the storm

Claude: I'll create a rock song with your lyrics.
[Calls generate_custom_music with lyrics, title="Storm", style="rock, powerful"]

Extend a Song

User: Continue this song from the 2-minute mark with a bridge section

Claude: I'll extend the song with a bridge.
[Calls extend_music with audio_id, continue_at=120, lyric="[Bridge]..."]

Available Models

Model Version Max Duration Features
chirp-v5 V5 8 minutes Latest, best quality
chirp-v4-5-plus V4.5+ 8 minutes Enhanced quality
chirp-v4-5 V4.5 4 minutes Vocal gender control
chirp-v4 V4 150 seconds Stable
chirp-v3-5 V3.5 120 seconds Fast
chirp-v3 V3 120 seconds Legacy

Vocal Gender Control (v4.5+ only):

  • f - Female vocals
  • m - Male vocals

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 for generation chirp-v4-5
SUNO_REQUEST_TIMEOUT Request timeout in seconds 1800
LOG_LEVEL Logging level INFO

Command Line Options

mcp-suno --help

Options:
  --version          Show version
  --transport        Transport mode: stdio (default) or http
  --port             Port for HTTP transport (default: 8000)

Development

Setup Development Environment

# Clone repository
git clone https://github.com/AceDataCloud/mcp-suno.git
cd mcp-suno

# 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=core --cov=tools

# 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 core tools

Build & Publish

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

# Build package
python -m build

# Upload to PyPI
twine upload dist/*

Project Structure

MCPSuno/
├── core/                   # Core modules
│   ├── __init__.py
│   ├── client.py          # HTTP client for Suno API
│   ├── config.py          # Configuration management
│   ├── exceptions.py      # Custom exceptions
│   ├── server.py          # MCP server initialization
│   └── utils.py           # Utility functions
├── tools/                  # MCP tool definitions
│   ├── __init__.py
│   ├── audio_tools.py     # Audio generation tools
│   ├── info_tools.py      # Information tools
│   ├── lyrics_tools.py    # Lyrics generation tools
│   ├── persona_tools.py   # Persona management tools
│   └── task_tools.py      # Task query tools
├── tests/                  # Test suite
│   ├── conftest.py
│   ├── test_client.py
│   ├── test_config.py
│   ├── test_integration.py
│   └── test_utils.py
├── .env.example           # Environment template
├── .gitignore
├── CHANGELOG.md
├── LICENSE
├── main.py                # Entry point
├── pyproject.toml         # Project configuration
└── README.md

API Reference

This server wraps the AceDataCloud Suno API:

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


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