- Explore MCP Servers
- macOS-Notification-MCP
Macos Notification Mcp
What is Macos Notification Mcp
macOS-Notification-MCP is a Model Context Protocol (MCP) server that allows AI assistants to trigger native macOS notifications, sounds, and text-to-speech functionalities.
Use cases
Use cases include notifying users about task completions, providing alerts in applications, enhancing accessibility through speech notifications, and integrating sound cues in interactive applications.
How to use
To use macOS-Notification-MCP, you can quickly start with ‘uvx’ to run the MCP server without installation. Alternatively, you can install it via pip or from the source code.
Key features
Key features include sound notifications with various system sounds, customizable banner notifications, text-to-speech conversion with adjustable settings, voice management for selecting system voices, and diagnostic tools for testing notification methods.
Where to use
macOS-Notification-MCP can be used in various fields such as software development, AI assistant integration, and user interface enhancements for macOS applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Macos Notification Mcp
macOS-Notification-MCP is a Model Context Protocol (MCP) server that allows AI assistants to trigger native macOS notifications, sounds, and text-to-speech functionalities.
Use cases
Use cases include notifying users about task completions, providing alerts in applications, enhancing accessibility through speech notifications, and integrating sound cues in interactive applications.
How to use
To use macOS-Notification-MCP, you can quickly start with ‘uvx’ to run the MCP server without installation. Alternatively, you can install it via pip or from the source code.
Key features
Key features include sound notifications with various system sounds, customizable banner notifications, text-to-speech conversion with adjustable settings, voice management for selecting system voices, and diagnostic tools for testing notification methods.
Where to use
macOS-Notification-MCP can be used in various fields such as software development, AI assistant integration, and user interface enhancements for macOS applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🔔 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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










