mcp-macos-utils
Provides tools to send native macOS system notifications with customizable titles, messages, and types, supporting features like automatic project detection and notification logging.
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In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-macos-utilssend a success notification that the build finished"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-macos-utils
A Model Context Protocol (MCP) server that provides macOS utility tools for AI assistants.
Features
Native macOS Notifications: Send system notifications with different types (success, error, info, warning)
Auto Project Detection: Automatically detects and includes the current project name in notifications
Notification Logging: All notifications are logged to
~/.mcp-notifications.logfor audit trailTypeScript Support: Fully typed for better development experience
Related MCP server: nucleus-apple-mcp
Installation
Clone this repository:
git clone <repository-url>
cd mcp-macos-utilsRun the install script:
./install.shThis will:
Install npm dependencies
Build the TypeScript code
Create an example configuration file
Configuration
Add the following to your MCP client's configuration file:
{
"mcpServers": {
"macos-utils": {
"command": "node",
"args": ["/absolute/path/to/mcp-macos-utils/dist/index.js"],
"env": {}
}
}
}Replace /absolute/path/to/mcp-macos-utils with the actual path to this directory.
Usage
Once configured, the following tool will be available to AI assistants:
notify
Send a macOS notification with project context.
Parameters:
title(required): The notification titlemessage(required): The notification messagetype(optional): Type of notification -success,error,info, orwarning(default:info)sound(optional): Whether to play a sound (default:true)subtitle(optional): Custom subtitle (defaults to current project name)
Example:
await notify({
title: "Build Complete",
message: "Your project has been built successfully",
type: "success"
});Notification Types
Success (✅): For successful operations
Error (❌): For errors or failures
Warning (⚠️): For warnings or cautions
Info (ℹ️): For general information
Logging
All notifications are logged to ~/.mcp-notifications.log in JSON format, including:
Timestamp
Project name
Notification type
Title and message
Any errors that occurred
Development
Building
npm run buildDevelopment Mode
npm run devClean Build
npm run clean
npm run buildRequirements
macOS (uses native
osascriptfor notifications)Node.js 20+
TypeScript 5.5+
License
MIT
Available Tools
1 toolnotifyA
Send a macOS notification with auto-detected project context
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | Notification title | |
| message | Yes | Notification message | |
| type | No | Type of notification (affects icon) | info |
| sound | No | Whether to play a sound | |
| subtitle | No | Optional subtitle (defaults to project name) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'auto-detected project context,' which adds useful context about behavior beyond basic notification sending. However, it lacks details on permissions required, system dependencies, or how the auto-detection works, leaving gaps for a tool that interacts with the macOS system.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core functionality ('Send a macOS notification') and adds the distinctive feature ('with auto-detected project context'). There is zero waste, making it highly concise and well-structured for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (5 parameters, macOS system interaction) and no annotations or output schema, the description is minimally complete. It covers the basic purpose and a key behavioral trait but lacks details on error handling, return values, or system requirements, which could hinder effective use by an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema fully documents all parameters. The description does not add any meaning beyond the schema, such as explaining how 'auto-detected project context' relates to parameters like 'subtitle.' Baseline score of 3 is appropriate as the schema handles the heavy lifting without extra value from the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Send a macOS notification') and the key feature ('with auto-detected project context'), making the purpose immediately understandable. It distinguishes this as a macOS-specific notification tool with contextual awareness, which is precise and actionable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for macOS notifications with project context, but provides no explicit guidance on when to use this tool versus alternatives (e.g., other notification methods or platforms). Since there are no sibling tools, the lack of comparative guidance is less critical, but it still offers only implied context without exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'notify' has a clearly defined and distinct purpose.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'notify' is clear and follows a simple verb pattern.
A single tool is too few for a server named 'mcp-macos-utils', which implies a broader set of macOS utility functions. This feels thin and incomplete for the apparent scope.
Given the server name suggests macOS utilities, the single notification tool leaves significant gaps. There are no tools for other common macOS operations like file management, system info, or automation, making the surface severely incomplete.
Maintenance
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