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Play Sound Mcp Server
What is Play Sound Mcp Server
play-sound-mcp-server is a Model Context Protocol (MCP) server designed to provide audio playback functionality for AI agents. It allows AI agents to play sound notifications upon the completion of coding tasks. Currently, it is an early version and is only tested on macOS.
Use cases
Use cases include notifying developers when a coding task is completed, providing alerts for automated testing results, and enhancing interactive coding environments with sound notifications.
How to use
To use play-sound-mcp-server, clone the repository, set up a Python virtual environment, install the necessary dependencies, and configure it in the Claude Desktop application. After setup, you can test the functionality by asking the AI to play a notification sound.
Key features
Key features include audio notifications for task completion, a default notification sound, support for custom audio files (WAV, MP3, FLAC, OGG, M4A), intelligent fallback to default sound if custom audio fails, and current support for macOS.
Where to use
play-sound-mcp-server can be used in software development environments where AI agents are employed to assist with coding tasks, providing auditory feedback to enhance user experience.
Overview
What is Play Sound Mcp Server
play-sound-mcp-server is a Model Context Protocol (MCP) server designed to provide audio playback functionality for AI agents. It allows AI agents to play sound notifications upon the completion of coding tasks. Currently, it is an early version and is only tested on macOS.
Use cases
Use cases include notifying developers when a coding task is completed, providing alerts for automated testing results, and enhancing interactive coding environments with sound notifications.
How to use
To use play-sound-mcp-server, clone the repository, set up a Python virtual environment, install the necessary dependencies, and configure it in the Claude Desktop application. After setup, you can test the functionality by asking the AI to play a notification sound.
Key features
Key features include audio notifications for task completion, a default notification sound, support for custom audio files (WAV, MP3, FLAC, OGG, M4A), intelligent fallback to default sound if custom audio fails, and current support for macOS.
Where to use
play-sound-mcp-server can be used in software development environments where AI agents are employed to assist with coding tasks, providing auditory feedback to enhance user experience.
Content
MCP Play Sound Server
A Model Context Protocol (MCP) server that provides audio playback functionality for AI agents. This server enables AI agents to play sound notifications when coding tasks are completed.
⚠️ Early Version / Proof of Concept
This is an early implementation currently tested only on macOS. Future versions will support additional platforms.
Features
- Audio Notifications: Play sound alerts when AI tasks complete
- Default Sound: Bundled notification sound for immediate use
- Custom Audio: Support for custom audio files (WAV, MP3, FLAC, OGG, M4A)
- Intelligent Fallback: Automatic fallback to default sound if custom audio fails
- macOS Support: Currently tested on macOS using AFPlay and SimpleAudio
Installation & Setup
Development Setup
- Clone and install:
git clone <repository-url>
cd play-sound-mcp-server
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -e ".[dev]"
- Configure Claude Desktop:
Add to yourclaude_desktop_config.json
:
{
"mcpServers": {
"play-sound": {
"command": "uv",
"args": [
"--directory",
"/path/to/your/play-sound-mcp-server",
"run",
"mcp-server-play-sound"
]
}
}
}
- Test: Restart Claude Desktop and ask: “Can you play a notification sound?”
Configuration
Environment variables (optional):
CUSTOM_SOUND_PATH
: Path to custom audio fileVOLUME_LEVEL
: Playback volume (0.0-1.0, default: 0.8)ENABLE_FALLBACK
: Enable fallback to default sound (default: true)AUDIO_DEVICE
: Specific audio output device name (e.g., “Mac Studio Speakers”)
Available Tools
play_notification_sound
Plays a notification sound to alert the user.
Parameters:
custom_sound_path
(optional): Path to custom audio filemessage
(optional): Context message for the notification
get_audio_status
Returns current audio system status and configuration.
test_audio_playback
Tests audio playback functionality.
Parameters:
use_custom
(optional): Test with custom sound if configured
list_audio_devices
Lists all available audio output devices on the system.
Returns:
- List of available audio devices with their properties
- Current configured device (if any)
- Default device information
Development
Prerequisites
- Python 3.10+
- uv (recommended) or pip
Testing
pytest tests/
License
MIT License - see the LICENSE file for details.
Acknowledgments
- Model Context Protocol by Anthropic
- Python audio library maintainers