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MCP Suno

PyPI version PyPI downloads 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"
      }
    }
  }
}

Remote HTTP Mode (Hosted)

AceDataCloud hosts a managed MCP server that you can connect to directly — no local installation required.

Endpoint: https://suno.mcp.acedata.cloud/mcp

All requests require a Bearer token in the Authorization header. Get your token from AceDataCloud Platform.

Claude Desktop (Remote)

{
  "mcpServers": {
    "suno": {
      "type": "streamable-http",
      "url": "https://suno.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer your_api_token_here"
      }
    }
  }
}

Cursor / VS Code

In your MCP client settings, add:

  • Type: streamable-http

  • URL: https://suno.mcp.acedata.cloud/mcp

  • Headers: Authorization: Bearer your_api_token_here

cURL Test

# Health check (no auth required)
curl https://suno.mcp.acedata.cloud/health

# MCP initialize (requires Bearer token)
curl -X POST https://suno.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer your_api_token_here" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

Self-Hosting with Docker

docker pull ghcr.io/acedatacloud/mcp-suno:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-suno:latest

Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header and uses it for upstream API calls.

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

remaster_music

Remaster an existing song to improve audio quality

stems_music

Separate a song into individual stems (vocals/instruments)

replace_section

Replace a specific time range with new generated content

upload_extend

Extend uploaded audio with new AI-generated content

upload_cover

Create an AI cover of uploaded audio

mashup_music

Create a mashup by blending multiple songs together

Lyrics

Tool

Description

generate_lyrics

Generate song lyrics from a prompt

mashup_lyrics

Generate mashup lyrics by combining two sets of lyrics

optimize_style

Optimize a style description for better generation results

Media Conversion

Tool

Description

get_mp4

Get an MP4 video version of a generated song

get_wav

Get lossless WAV format of a generated song

get_midi

Get MIDI data extracted from a generated song

get_timing

Get timing and subtitle data for a generated song

extract_vocals

Extract the vocal track from a generated song

Persona

Tool

Description

create_persona

Save a voice style for reuse

Upload

Tool

Description

upload_audio

Upload an external audio file for use in subsequent operations

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
│   ├── media_tools.py     # Media conversion 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
├── deploy/                 # Deployment configs
│   └── production/
│       ├── deployment.yaml
│       ├── ingress.yaml
│       └── service.yaml
├── .env.example           # Environment template
├── .gitignore
├── CHANGELOG.md
├── Dockerfile             # Docker image for HTTP mode
├── docker-compose.yaml    # Docker Compose config
├── 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.


Made with love by AceDataCloud

-
security - not tested
A
license - permissive license
-
quality - not tested

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