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SunoMCP

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

Tool Reference

Tool

Description

suno_generate_music

Generate AI music from a text prompt using Suno's Inspiration Mode.

suno_generate_custom_music

Generate AI music with full control over lyrics, title, and style (Custom Mode).

suno_extend_music

Extend an existing song from a specific timestamp with new lyrics.

suno_cover_music

Create a cover or remix version of an existing song in a different style.

suno_concat_music

Concatenate extended song segments into a single complete audio file.

suno_generate_with_persona

Generate music using a saved artist persona for consistent vocal style.

suno_remaster_music

Remaster an existing song to improve audio quality.

suno_stems_music

Separate a song into individual stems (vocals and instruments).

suno_replace_section

Replace a specific time range in a song with new generated content.

suno_upload_extend

Extend an uploaded audio (your own music) with new AI-generated content.

suno_upload_cover

Create an AI cover of an uploaded audio (your own music).

suno_mashup_music

Create a musical mashup by blending multiple songs together.

suno_generate_lyrics

Generate song lyrics from a text prompt.

suno_get_mp4

Get an MP4 video version of a generated song.

suno_get_timing

Get timing and subtitle data for a generated song.

suno_extract_vocals

Extract the vocal track from a generated song (stem separation).

suno_get_wav

Get the lossless WAV format of a generated song.

suno_get_midi

Get MIDI data extracted from a generated song.

suno_create_persona

Create a new artist persona from an existing audio's vocal style.

suno_optimize_style

Optimize a music style description for better generation results.

suno_mashup_lyrics

Generate mashup lyrics by combining two sets of lyrics.

suno_upload_audio

Upload an external audio file to Suno for use in subsequent operations.

suno_get_task

Query the status and result of a music generation task.

suno_get_tasks_batch

Query multiple music generation tasks at once.

suno_list_models

List all available Suno models and their capabilities.

suno_list_actions

List all available Suno API actions and corresponding tools.

suno_get_lyric_format_guide

Get guidance on formatting lyrics for Suno music generation.

Quick Start

1. Get Your API Token

  1. Sign up at AceDataCloud Platform

  2. Go to the API documentation page

  3. Click "Acquire" to get your API token

  4. Copy the token for use below

AceDataCloud hosts a managed MCP server — no local installation required.

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

All requests require a Bearer token. Use the API token from Step 1.

Claude.ai

Connect directly on Claude.ai with OAuth — no API token needed:

  1. Go to Claude.ai Settings → Integrations → Add More

  2. Enter the server URL: https://suno.mcp.acedata.cloud/mcp

  3. Complete the OAuth login flow

  4. Start using the tools in your conversation

Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

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

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

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

VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

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

Or install the Ace Data Cloud MCP extension for VS Code, which bundles all 11 MCP servers with one-click setup.

JetBrains IDEs

  1. Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)

  2. Click AddHTTP

  3. Paste:

{
  "mcpServers": {
    "suno": {
      "url": "https://suno.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Claude Code

Claude Code supports MCP servers natively:

claude mcp add suno --transport http https://suno.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"

Or add to your project's .mcp.json:

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

Cline

Add to Cline's MCP settings (.cline/mcp_settings.json):

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

Amazon Q Developer

Add to your MCP configuration:

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

Roo Code

Add to Roo Code MCP settings:

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

Continue.dev

Add to .continue/config.yaml:

mcpServers:
  - name: suno
    type: streamable-http
    url: https://suno.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"

Zed

Add to Zed's settings (~/.config/zed/settings.json):

{
  "language_models": {
    "mcp_servers": {
      "suno": {
        "url": "https://suno.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}

cURL Test

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

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

3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

# Install from PyPI
pip install mcp-suno
# or
uvx mcp-suno

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-suno

# Run (HTTP mode for remote access)
mcp-suno --transport http --port 8000

Claude Desktop (Local)

{
  "mcpServers": {
    "suno": {
      "command": "uvx",
      "args": ["mcp-suno"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}

Docker (Self-Hosting)

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.

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-v5-5

V5.5

8 minutes

Latest, best quality

chirp-v5

V5

8 minutes

High 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-v3-0

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

ACEDATACLOUD_OAUTH_CLIENT_ID

OAuth client ID (hosted mode)

ACEDATACLOUD_PLATFORM_BASE_URL

Platform base URL

https://platform.acedata.cloud

SUNO_DEFAULT_MODEL

Default model for generation

chirp-v5-5

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

SunoMCP/
├── 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.


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