SunoMCP
SunoMCP is an AI music generation server for creating, editing, and managing music using Suno's AI via the AceDataCloud API.
Music Generation
Generate music from a text prompt (Inspiration Mode), with optional instrumental-only output
Generate music with full custom control over lyrics, title, style, and vocal gender
Generate music using a saved artist persona for consistent vocal style
Extend an existing song from a specific timestamp with new lyrics
Concatenate extended segments into a single audio file
Create a cover/remix of an existing song in a different style
Remaster a song to improve audio quality
Separate a song into individual stems (vocals and instruments)
Replace a specific time range in a song with newly generated content
Create a musical mashup by blending multiple songs
User Audio Integration
Upload an external audio file via URL for further processing
Extend or create AI covers of uploaded audio
Lyrics & Style
Generate structured song lyrics from a text prompt
Generate mashup lyrics by combining two sets of lyrics
Optimize music style descriptions for better results
Get guidance on formatting lyrics for Suno
Media Conversion
Export songs as MP4 video, lossless WAV, or MIDI
Get word-level timing/subtitle data for a song
Extract vocal tracks from a song
Persona Management
Create and save artist personas from existing audio vocal styles for reuse across songs
Task Tracking & Reference
Query the status and results of single or multiple generation tasks
List available Suno models, API actions, and corresponding tools
Allows for the extraction of MIDI data from generated songs for use in music production and digital audio workstations.
Enables AI music generation, including creating songs from text prompts, custom lyrics management, song extensions, and audio stem separation.
SunoMCP
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 |
| Generate AI music from a text prompt using Suno's Inspiration Mode. |
| Generate AI music with full control over lyrics, title, and style (Custom Mode). |
| Extend an existing song from a specific timestamp with new lyrics. |
| Create a cover or remix version of an existing song in a different style. |
| Concatenate extended song segments into a single complete audio file. |
| Generate music using a saved artist persona for consistent vocal style. |
| Remaster an existing song to improve audio quality. |
| Separate a song into individual stems (vocals and instruments). |
| Replace a specific time range in a song with new generated content. |
| Extend an uploaded audio (your own music) with new AI-generated content. |
| Create an AI cover of an uploaded audio (your own music). |
| Create a musical mashup by blending multiple songs together. |
| Generate song lyrics from a text prompt. |
| Get an MP4 video version of a generated song. |
| Get timing and subtitle data for a generated song. |
| Extract the vocal track from a generated song (stem separation). |
| Get the lossless WAV format of a generated song. |
| Get MIDI data extracted from a generated song. |
| Create a new artist persona from an existing audio's vocal style. |
| Optimize a music style description for better generation results. |
| Generate mashup lyrics by combining two sets of lyrics. |
| Upload an external audio file to Suno for use in subsequent operations. |
| Query the status and result of a music generation task. |
| Query multiple music generation tasks at once. |
| List all available Suno models and their capabilities. |
| List all available Suno API actions and corresponding tools. |
| Get guidance on formatting lyrics for Suno music generation. |
Quick Start
1. Get Your API Token
Sign up at AceDataCloud Platform
Go to the API documentation page
Click "Acquire" to get your API token
Copy the token for use below
2. Use the Hosted Server (Recommended)
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:
Go to Claude.ai Settings → Integrations → Add More
Enter the server URL:
https://suno.mcp.acedata.cloud/mcpComplete the OAuth login flow
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
Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Click Add → HTTP
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 8000Claude 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:latestClients 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 from a text prompt (Inspiration Mode) |
| Generate with custom lyrics, title, and style |
| Extend an existing song from a timestamp |
| Create a cover/remix version |
| Merge extended segments into complete audio |
| Generate using a saved voice style |
| Remaster an existing song to improve audio quality |
| Separate a song into individual stems (vocals/instruments) |
| Replace a specific time range with new generated content |
| Extend uploaded audio with new AI-generated content |
| Create an AI cover of uploaded audio |
| Create a mashup by blending multiple songs together |
Lyrics
Tool | Description |
| Generate song lyrics from a prompt |
| Generate mashup lyrics by combining two sets of lyrics |
| Optimize a style description for better generation results |
Media Conversion
Tool | Description |
| Get an MP4 video version of a generated song |
| Get lossless WAV format of a generated song |
| Get MIDI data extracted from a generated song |
| Get timing and subtitle data for a generated song |
| Extract the vocal track from a generated song |
Persona
Tool | Description |
| Save a voice style for reuse |
Upload
Tool | Description |
| Upload an external audio file for use in subsequent operations |
Tasks
Tool | Description |
| Query a single task status |
| Query multiple tasks at once |
Information
Tool | Description |
| List available Suno models |
| List available API actions |
| 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 |
| V5.5 | 8 minutes | Latest, best quality |
| V5 | 8 minutes | High quality |
| V4.5+ | 8 minutes | Enhanced quality |
| V4.5 | 4 minutes | Vocal gender control |
| V4 | 150 seconds | Stable |
| V3.5 | 120 seconds | Fast |
| V3 | 120 seconds | Legacy |
Vocal Gender Control (v4.5+ only):
f- Female vocalsm- Male vocals
Configuration
Environment Variables
Variable | Description | Default |
| API token from AceDataCloud | Required |
| API base URL |
|
| OAuth client ID (hosted mode) | — |
| Platform base URL |
|
| Default model for generation |
|
| Request timeout in seconds |
|
| Logging level |
|
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 integrationCode Quality
# Format code
ruff format .
# Lint code
ruff check .
# Type check
mypy core toolsBuild & 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.mdAPI Reference
This server 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:
Fork the repository
Create a feature branch (
git checkout -b feature/amazing)Commit your changes (
git commit -m 'Add amazing feature')Push to the branch (
git push origin feature/amazing)Open a Pull Request
License
MIT License - see LICENSE for details.
Links
Made with love by AceDataCloud
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/AceDataCloud/MCPSuno'
If you have feedback or need assistance with the MCP directory API, please join our Discord server