Mcp Producer

ProducerMCP

A Model Context Protocol (MCP) server for AI music generation using Producer/Riffusion (FUZZ models) through the AceDataCloud API.

Generate AI music directly from Claude, VS Code, or any MCP-compatible client.

Features

• Text to Music - Create AI-generated music from text prompts
• Custom Music - Full control with custom lyrics, title, and style
• Song Extension - Continue songs from any timestamp
• Cover/Remix - Create covers in different genres and styles
• Variations - Generate alternative versions of songs
• Vocal/Instrumental Swap - Mix vocals and instrumentals between songs
• Section Replacement - Re-generate specific sections of a song
• Stem Separation - Split songs into vocal and instrumental tracks
• Lyrics Generation - Generate structured lyrics from prompts
• Video Generation - Create music videos for songs
• WAV Export - Get lossless audio format
• 8 FUZZ Models - From FUZZ-0.8 to FUZZ-2.0 Pro

Tool Reference

Tool	Description
producer_generate_music	Generate AI music from a text prompt.
producer_generate_custom_music	Generate music with custom lyrics, title, and style.
producer_extend_music	Extend an existing song from a specific timestamp.
producer_cover_music	Create a cover/remix version in a different style.
producer_variation_music	Create a variation of an existing song.
producer_swap_vocals	Swap vocals between two songs.
producer_swap_instrumentals	Swap instrumentals between two songs.
producer_replace_section	Replace a specific time range with new content.
producer_stems_music	Separate a song into vocal and instrumental stems.
producer_generate_lyrics	Generate structured song lyrics from a prompt.
producer_upload_audio	Upload external audio for processing.
producer_generate_video	Generate a music video for a song.
producer_generate_wav	Get lossless WAV format of a song.
producer_get_task	Query the status of a generation task.
producer_get_tasks_batch	Query multiple generation tasks at once.
producer_list_models	List all available FUZZ models.
producer_list_actions	List all available actions and tools.
producer_get_lyric_format_guide	Get lyrics formatting guide.

Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is https://producer.mcp.acedata.cloud/mcp. Choose one route for the MCP client:

Route	When to use it	Credential setup
Hosted OAuth	The client supports remote MCP OAuth	Add only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration.
Hosted API token	The client cannot finish OAuth, or you need an explicit integration credential	Send an AceDataCloud API token in the Authorization: Bearer … header. Keep it in a local secret store or environment variable.
Local stdio	The client runs a local MCP process	Install mcp-producer and pass ACEDATACLOUD_API_TOKEN to that process. It still calls the AceDataCloud API.

The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.

Hosted OAuth examples

• Claude and Claude Desktop chat: Add a remote custom connector in Customize → Connectors → Add custom connector, enter https://producer.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local claude_desktop_config.json is a separate setup. Claude connector guide.
• Claude Code: claude mcp add --transport http --scope user producer https://producer.mcp.acedata.cloud/mcp, then claude mcp login producer. Check /mcp. Claude Code MCP guide.
• Cursor: Add a remote server with only https://producer.mcp.acedata.cloud/mcp. For a project, merge the entry below into <project>/.cursor/mcp.json; for personal use, use ~/.cursor/mcp.json. Cursor MCP guide.
• VS Code / Copilot: Run MCP: Add Server, select HTTP, enter https://producer.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use <project>/.mcp.json; the VS Code-specific format below uses <project>/.vscode/mcp.json or the user profile. Check MCP: List Servers. VS Code MCP setup.
• Codex: codex mcp add producer --url https://producer.mcp.acedata.cloud/mcp, then codex mcp login producer. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.

Cursor project config (OAuth):

{
  "mcpServers": {
    "producer": {"url": "https://producer.mcp.acedata.cloud/mcp"}
  }
}

VS Code-specific workspace config (OAuth):

{
  "servers": {
    "producer": {"type": "http", "url": "https://producer.mcp.acedata.cloud/mcp"}
  }
}

Hosted API token

1. Open Ace Data Cloud → Applications. Sign in, or register an account first.
2. Find General application. If it has not been created, choose Initialize General Application. A general key can use the services available to your account; a dedicated application's key is limited to its service. Check the required service/model access and current pricing.
3. Copy the API Key from the application card, or open Keys / Manage Keys → Create to create a separate key for this integration. Give it a recognizable name so you can revoke or rotate it independently.
4. When creating a key, review Expiration Time, Set Usage Limitation, and Allowed APIs. Enable only the restrictions you need, allow the operations you will call, then click Create and copy the token from the key list. Task lookup does not grant permission to submit a generation. Confirm the application's balance can cover your first request; any trial allowance is whatever your account currently displays.
5. Copy only the token value, without quotation marks, spaces, or Bearer . An API Key / API Token field expects this raw value; only a manually configured HTTP Authorization header needs the Bearer prefix. A platform-... account-management token cannot replace a generation API key.

Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.

A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.

For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:

export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
claude mcp add --transport http --scope user producer https://producer.mcp.acedata.cloud/mcp \
  --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"

For a Claude Code project config, put a variable reference in <project>/.mcp.json and set that variable in the environment that launches Claude Code:

{
  "mcpServers": {
    "producer": {
      "type": "http",
      "url": "https://producer.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"}
    }
  }
}

Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:

{
  "mcpServers": {
    "producer": {
      "url": "https://producer.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"}
    }
  }
}

In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:

{
  "inputs": [
    {"id": "acedata-producer-token", "type": "promptString", "description": "AceDataCloud API token", "password": true}
  ],
  "servers": {
    "producer": {
      "type": "http",
      "url": "https://producer.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${input:acedata-producer-token}"}
    }
  }
}

For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from Settings → Tools → AI Assistant → Model Context Protocol (MCP). For Zed, use a context_servers entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. Cline · JetBrains · Zed.

Local stdio

Install the package and give the local process an API token:

python -m pip install mcp-producer
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
mcp-producer

For Claude Desktop local MCP, merge this entry into the file opened by its developer settings (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). uvx requires uv on PATH:

{
  "mcpServers": {
    "producer": {
      "command": "uvx",
      "args": ["mcp-producer"],
      "env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"}
    }
  }
}

Keep this user-level file private. Self-hosted HTTP uses mcp-producer --transport http --port 8000; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.

Check before using the service

1. https://producer.mcp.acedata.cloud/health returning {"status":"ok"} checks endpoint reachability only.
2. Confirm that the MCP client loads tools. producer_list_models is a reference tool; it does not verify downstream API access or balance.
3. If you need a full API check, call producer_generate_music with your own valid input after reviewing current service documentation and displayed pricing. If the result contains a task ID, call producer_get_task on that same ID until terminal success or failure. Do not resubmit the operation just to check progress.

For 401, check which auth route the client used and whether the token or OAuth session is valid. A 403 may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A listed tool or submitted task does not prove a successful result.

Available Tools

Music Generation

Tool	Description
producer_generate_music	Generate music from a text prompt
producer_generate_custom_music	Generate with custom lyrics and style
producer_extend_music	Extend a song from a timestamp
producer_cover_music	Create a cover in a different style
producer_variation_music	Create a variation of a song

Vocal/Instrumental

Tool	Description
producer_swap_vocals	Swap vocals between two songs
producer_swap_instrumentals	Swap instrumentals between two songs
producer_replace_section	Replace a time range with new content
producer_stems_music	Separate into stems

Lyrics

Tool	Description
producer_generate_lyrics	Generate lyrics from a prompt

Media

Tool	Description
producer_upload_audio	Upload external audio
producer_generate_video	Generate video for a song
producer_generate_wav	Get lossless WAV format

Tasks

Tool	Description
producer_get_task	Query a single task status
producer_get_tasks_batch	Query multiple tasks at once

Information

Tool	Description
producer_list_models	List available FUZZ models
producer_list_actions	List available API actions
producer_get_lyric_format_guide	Lyric formatting guide

Usage Examples

Generate Music from Prompt

User: Create a jazz song about rainy nights

Claude: I'll generate a jazz song for you.
[Calls producer_generate_music with prompt="Smooth jazz song about rainy nights, saxophone, piano, moody"]

Custom Song with Lyrics

User: Here are my lyrics:
[Verse] Walking in the rain...
[Chorus] But I keep moving on...

Claude: I'll create a song with your lyrics.
[Calls producer_generate_custom_music with lyrics, title, and prompt]

Extend a Song

User: Make this song longer with another verse

Claude: I'll extend the song from where it left off.
[Calls producer_extend_music with audio_id, continue_at, and new lyrics]

Create a Cover

User: Make an acoustic version of this song

Claude: I'll create an acoustic cover.
[Calls producer_cover_music with audio_id and prompt="acoustic folk, gentle guitar"]

Available Models

Model	Tier	Description
FUZZ-2.0 Pro	Pro	Highest quality, best for professional production
FUZZ-2.0	Default	Recommended for most use cases (default)
FUZZ-2.0 Raw	Raw	Unprocessed output, for custom post-processing
FUZZ-1.1 Pro	Pro	High quality legacy model
FUZZ-1.0 Pro	Pro	Professional legacy model
FUZZ-1.0	Default	Stable legacy model
FUZZ-1.1	Default	Improved legacy model
FUZZ-0.8	Legacy	Original model, basic quality

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
PRODUCER_DEFAULT_MODEL	Default FUZZ model	FUZZ-2.0
PRODUCER_REQUEST_TIMEOUT	Request timeout in seconds	1800
LOG_LEVEL	Logging level	INFO

Command Line Options

mcp-producer --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/ProducerMCP.git
cd ProducerMCP

# 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

ProducerMCP/
├── core/                   # Core modules
│   ├── __init__.py
│   ├── client.py          # HTTP client for Producer API
│   ├── config.py          # Configuration management
│   ├── exceptions.py      # Custom exceptions
│   ├── oauth.py           # OAuth 2.1 provider
│   ├── server.py          # MCP server initialization
│   ├── types.py           # Type definitions (models, actions)
│   └── utils.py           # Utility functions
├── tools/                  # MCP tool definitions
│   ├── __init__.py
│   ├── audio_tools.py     # Audio generation tools (9 tools)
│   ├── lyrics_tools.py    # Lyrics generation
│   ├── media_tools.py     # Upload, video, WAV tools
│   ├── task_tools.py      # Task query tools
│   └── info_tools.py      # Information tools
├── prompts/                # MCP prompts
│   └── __init__.py        # Prompt templates
├── 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
├── .ruff.toml             # Ruff linter config
├── 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

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

Documentation

Documentation

License

MIT License - see LICENSE for details.

Links

• AceDataCloud Platform
• Riffusion
• Model Context Protocol
• MCP Python SDK

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