Is the mcp-producer MCP server free to use?

Yes. mcp-producer is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Is the mcp-producer MCP server free to use?

Yes. mcp-producer is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Mcp Producer

MCP server for Producer/Riffusion AI music generation

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-producer": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-producer"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

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.

Quick Start

1. Get Your API Token

Sign up at AceDataCloud Platform
Navigate to the API documentation
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://producer.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://producer.mcp.acedata.cloud/mcp
Complete 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):

config.json

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

Cursor / Windsurf

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

config.json

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

VS Code (Copilot)

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

config.json

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

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

JetBrains IDEs

Go to Settings > Tools > AI Assistant > Model Context Protocol (MCP)
Click Add > HTTP
Paste:

config.json

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

Claude Code

Claude Code supports MCP servers natively:

Terminal

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

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

config.json

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

Cline

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

config.json

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

Amazon Q Developer

Add to your MCP configuration:

config.json

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

Roo Code

Add to Roo Code MCP settings:

config.json

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

Continue.dev

Add to .continue/config.yaml:

yaml

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

Zed

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

config.json

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

cURL Test

bash

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

# MCP initialize
curl -X POST https://producer.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:

server.ts

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

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

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

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

Claude Desktop (Local)

config.json

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

Docker (Self-Hosting)

Terminal

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

Code

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

Code

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 style]

Extend a Song

Code

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

Code

User: Make an acoustic version of this song

Claude: I'll create an acoustic cover.
[Calls producer_cover_music with audio_id and style="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

bash

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

bash

# 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

bash

# 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

bash

# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools

Build & Publish

bash

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

# Build package
python -m build

# Upload to PyPI
twine upload dist/*

Project Structure

Code

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:

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

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Frequently Asked Questions about Mcp Producer

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-producer": { "command": "npx", "args": ["-y", "mcp-producer"] } }

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Technical Specs & Signals

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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Mcp Producer →Install in Claude Desktop Install in Cursor Install in VS Code

Mcp Producer

MCP server for Producer/Riffusion AI music generation

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-producer": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-producer"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

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.

Quick Start

1. Get Your API Token

Sign up at AceDataCloud Platform
Navigate to the API documentation
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://producer.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://producer.mcp.acedata.cloud/mcp
Complete 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):

config.json

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

Cursor / Windsurf

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

config.json

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

VS Code (Copilot)

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

config.json

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

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

JetBrains IDEs

Go to Settings > Tools > AI Assistant > Model Context Protocol (MCP)
Click Add > HTTP
Paste:

config.json

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

Claude Code

Claude Code supports MCP servers natively:

Terminal

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

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

config.json

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

Cline

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

config.json

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

Amazon Q Developer

Add to your MCP configuration:

config.json

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

Roo Code

Add to Roo Code MCP settings:

config.json

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

Continue.dev

Add to .continue/config.yaml:

yaml

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

Zed

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

config.json

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

cURL Test

bash

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

# MCP initialize
curl -X POST https://producer.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:

server.ts

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

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

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

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

Claude Desktop (Local)

config.json

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

Docker (Self-Hosting)

Terminal

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

Code

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

Code

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 style]

Extend a Song

Code

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

Code

User: Make an acoustic version of this song

Claude: I'll create an acoustic cover.
[Calls producer_cover_music with audio_id and style="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

bash

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

bash

# 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

bash

# 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

bash

# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools

Build & Publish

bash

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

# Build package
python -m build

# Upload to PyPI
twine upload dist/*

Project Structure

Code

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:

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

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Frequently Asked Questions about Mcp Producer

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-producer": { "command": "npx", "args": ["-y", "mcp-producer"] } }

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