iflow-mcp_devizor_macos-notification-mcp 0.1.1

macOS Notification MCP Server with sound, banner, and speech alerts

🔔 macOS Notification MCP

A Model Context Protocol (MCP) server that enables AI assistants to trigger macOS notifications, sounds, and text-to-speech.

✨ Features

• 🔊 Sound Notifications: Play system sounds like Submarine, Ping, or Tink
• 💬 Banner Notifications: Display visual notifications with customizable title, message, and subtitle
• 🗣️ Speech Notifications: Convert text to speech with adjustable voice, rate, and volume
• 🎙️ Voice Management: List and select from available system voices
• 🧪 Testing Tools: Diagnostic utilities to verify all notification methods

🚀 Quick Start with uvx (Recommended)

The fastest way to use this tool is with uvx, which runs packages without permanent installation:

# Install uv if you don't have it
curl -LsSf https://astral.sh/uv/install.sh | sh

# Run the MCP server directly (no installation needed)
uvx macos-notification-mcp

⚙️ Configure Claude Desktop

Add this to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "macos-notification-mcp": {
      "command": "uvx",
      "args": ["macos-notification-mcp"]
    }
  }
}

Then restart Claude Desktop.

📦 Alternative Installation Methods

Standard installation:

pip install macos-notification-mcp

Install from source:

git clone https://github.com/devizor/macos-notification-mcp
cd macos-notification-mcp
pip install .

🛠️ Available Notification Tools

🔊 Sound Notification

sound_notification(sound_name="Submarine")

Available sounds: Basso, Blow, Bottle, Frog, Funk, Glass, Hero, Morse, Ping, Pop, Purr, Sosumi, Submarine, Tink

💬 Banner Notification

banner_notification(
    title="Task Complete",
    message="Your analysis is ready",
    subtitle=None,  # Optional
    sound=False,    # Optional: Play sound with notification
    sound_name=None # Optional: Specify system sound
)

🗣️ Speech Notification

speak_notification(
    text="The process has completed",
    voice=None,     # Optional: System voice to use
    rate=150,       # Optional: Words per minute (default: 150)
    volume=1.0      # Optional: Volume level 0.0-1.0
)

🎙️ Voice Management

list_available_voices()  # Lists all available text-to-speech voices

🧪 Testing

test_notification_system()  # Tests all notification methods

🔒 Implementation Details

• ⏱️ Rate Limiting: Notifications are processed one at a time with a minimum interval of 0.5 seconds
• 🔄 Queuing: Multiple notification requests are handled sequentially
• 🪟 OS Integration: Uses native macOS commands (afplay, osascript, say)
• 🔌 FastMCP: Built on the FastMCP framework for AI communication

⚠️ Troubleshooting

• 🔐 Permissions: Ensure notifications are allowed in System Settings → Notifications
• ⏳ Timing: Only one notification is processed at a time
• 🌐 Environment: If using the command directly (not uvx), you may need to use full paths

📄 License

MIT License