Enable macOS notifications, banner alerts, and customizable text to speech features. Supports macOS TTS and speech recog
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
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macOS Notification reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
macOS Notification has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired macOS Notification into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated macOS Notification against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend macOS Notification for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
macOS Notification is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, macOS Notification benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
macOS Notification has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, macOS Notification benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: macOS Notification surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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Claude Desktop configuration
{
"mcpServers": {
"macos-notification-mcp": {
"command": "uvx",
"args": [
"macos-notification-mcp"
]
}
}
}Provides macOS system notifications, sounds, and text-to-speech capabilities for AI assistants. Lets you trigger banner alerts, play system sounds, and convert text to speech with voice customization.
macOS Notification is a community-built MCP server published by devizor that provides AI assistants with tools and capabilities via the Model Context Protocol. Enable macOS notifications, banner alerts, and customizable text to speech features. Supports macOS TTS and speech recog It is categorized under productivity, developer tools. This server exposes 5 tools that AI clients can invoke during conversations and coding sessions.
You can install macOS Notification in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
A Model Context Protocol (MCP) server that enables AI assistants to trigger macOS notifications, sounds, and text-to-speech.
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
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.
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 .
sound_notification(sound_name="Submarine")
Available sounds: Basso, Blow, Bottle, Frog, Funk, Glass, Hero, Morse, Ping, Pop, Purr, Sosumi, Submarine, Tink
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
)
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
)
list_available_voices() # Lists all available text-to-speech voices
test_notification_system() # Tests all notification methods
afplay, osascript, say)MIT License
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
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