apple-notifier-mcp
The Apple Notifier MCP Server enables interaction with macOS system features through MCP-compatible clients:
Send Notifications: Display native macOS notifications with customizable title, message, subtitle, and sound options.
Display Prompts: Show interactive dialog prompts to gather user input, with optional buttons, icons, and default answers.
Text-to-Speech: Utilize macOS text-to-speech to speak text, with customizable voice and speech rate.
Take Screenshots: Capture screenshots of fullscreen, window, or selection areas, with options for format, cursor visibility, and shadow.
File Selection: Open native macOS file picker dialogs to select files, with support for multiple selections and file type filters.
Provides access to Apple's macOS system services including notifications, dialogs, text-to-speech, screenshot capture, and file selection functionality.
Enables sending native macOS notifications, displaying interactive dialog prompts, using text-to-speech capabilities, capturing screenshots, and accessing the native file picker dialog.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@apple-notifier-mcpsend a notification with title 'Meeting Reminder' and message 'Team sync in 15 minutes'"
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.
Apple Notifier MCP Server
Send native macOS notifications and interact with system dialogs through any MCP-compatible client like Claude Desktop or Cline.
Prerequisites
macOS
Node.js >= 18
An MCP-compatible client (Claude Desktop, Cline)
Related MCP server: apple-notifier-mcp
Troubleshooting: Notifications Not Appearing
For notifications to display, the terminal or application running the MCP server needs notification permissions in macOS.
Grant Notification Permissions
For Claude Desktop users:
Open System Preferences (or System Settings on macOS Ventura+)
Go to Notifications
Find Node or terminal-notifier (whichever appears)
Enable Allow Notifications
Set alert style to Banners or Alerts
For Claude Code / Terminal users:
Open System Preferences > Notifications
Find Terminal (or iTerm if using iTerm2)
Enable Allow Notifications
If the app doesn't appear in Notifications settings:
Run a test notification manually in Terminal:
osascript -e 'display notification "Test" with title "Hello"'This should trigger macOS to prompt for or register notification permissions
Then check System Preferences again
Check Focus Mode / Do Not Disturb:
Ensure Focus Mode or Do Not Disturb is not enabled
Check the Control Center in the menu bar
Verify Notifications Work
Test from terminal before using via MCP:
osascript -e 'display notification "Test message" with title "Test title"'If this shows a notification, the MCP server should work correctly.
Installation
Installing via Smithery
To install Apple Notifier for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install apple-notifier-mcp --client claudeManual Installation
Install the package globally:
npm install -g apple-notifier-mcpAdd to your MCP configuration file:
For Cline (cline_mcp_settings.json):
{
"mcpServers": {
"apple-notifier": {
"command": "apple-notifier-mcp"
}
}
}For Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"apple-notifier": {
"command": "apple-notifier-mcp"
}
}
}Features
Send Notifications
Display native macOS notifications with customizable content.
Parameters:
title(required): string - The title of the notificationmessage(required): string - The main message contentsubtitle(optional): string - A subtitle to displaysound(optional): boolean - Whether to play the default notification sound (default: true)
Display Prompts
Show interactive dialog prompts to get user input.
Parameters:
message(required): string - Text to display in the prompt dialogdefaultAnswer(optional): string - Default text to pre-fillbuttons(optional): string[] - Custom button labels (max 3)icon(optional): 'note' | 'stop' | 'caution' - Icon to display
Text-to-Speech
Use macOS text-to-speech capabilities.
Parameters:
text(required): string - Text to speakvoice(optional): string - Voice to use (defaults to system voice)rate(optional): number - Speech rate (-50 to 50, defaults to 0)
Take Screenshots
Capture screenshots using macOS screencapture.
Parameters:
path(required): string - Path where to save the screenshottype(required): 'fullscreen' | 'window' | 'selection' - Type of screenshotformat(optional): 'png' | 'jpg' | 'pdf' | 'tiff' - Image formathideCursor(optional): boolean - Whether to hide the cursorshadow(optional): boolean - Whether to include window shadow (only for window type)timestamp(optional): boolean - Add timestamp to filename
File Selection
Open native macOS file picker dialog.
Parameters:
prompt(optional): string - Prompt messagedefaultLocation(optional): string - Default directory pathfileTypes(optional): object - File type filter (e.g., {"public.image": ["png", "jpg"]})multiple(optional): boolean - Allow multiple file selection
Example Usage
// Send a notification
await client.use_mcp_tool("apple-notifier", "send_notification", {
title: "Hello",
message: "World",
sound: true
});
// Show a prompt
const result = await client.use_mcp_tool("apple-notifier", "prompt_user", {
message: "What's your name?",
defaultAnswer: "John Doe",
buttons: ["OK", "Cancel"]
});
// Speak text
await client.use_mcp_tool("apple-notifier", "speak", {
text: "Hello, world!",
voice: "Samantha",
rate: -20
});
// Take a screenshot
await client.use_mcp_tool("apple-notifier", "take_screenshot", {
path: "screenshot.png",
type: "window",
format: "png"
});
// Select files
const files = await client.use_mcp_tool("apple-notifier", "select_file", {
prompt: "Select images",
fileTypes: {
"public.image": ["png", "jpg", "jpeg"]
},
multiple: true
});Contributing
See CONTRIBUTING.md for development setup and guidelines.
Running evals
The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.
OPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/index.tsLicense
MIT License - see the LICENSE file for details.
Available Tools
5 toolsprompt_userA
Display a dialog prompt to get user input
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | Text to display in the prompt dialog | |
| defaultAnswer | No | Optional default text to pre-fill | |
| buttons | No | Optional custom button labels (max 3) | |
| icon | No | Optional icon to display |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description does not disclose blocking behavior (waits for user input) or any side effects. It adds no behavioral context beyond the basic action.
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?
Single, front-loaded sentence with no wasted words. Fully earns its place.
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?
For a simple prompt tool with 4 params and no output schema, the description is mostly complete. It implies the return value (user input) but misses mentioning that the tool blocks execution until input is given.
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 coverage is 100% with clear param descriptions. The tool description adds no additional meaning beyond what the schema provides, scoring baseline 3.
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 action ('Display a dialog prompt') and purpose ('to get user input'). It distinguishes from sibling tools like 'send_notification' (no input) and 'select_file' (file selection).
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 general text input but provides no explicit guidance on when to use vs alternatives or when not to use (e.g., if a simple notification suffices).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
select_fileB
Open native file picker dialog
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | No | Optional prompt message | |
| defaultLocation | No | Optional default directory path | |
| fileTypes | No | Optional file type filter (e.g., {"public.image": ["png", "jpg"]}) | |
| multiple | No | Whether to allow multiple selection |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations present, so description must carry full burden. It only says 'Open native file picker dialog', omitting behavior like blocking, return values, cancellation handling, or permissions.
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?
Single sentence is appropriately sized and front-loaded, no extraneous content.
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?
Lacks explanation of return value or behavior for a tool with no output schema and no annotations. Does not cover user interaction results.
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 baseline 3 applies. The description adds no additional meaning beyond what the schema already provides for each parameter.
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?
Description clearly states verb 'Open' and resource 'native file picker dialog', distinguishing it from sibling tools like prompt_user, send_notification, etc.
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?
No guidance on when to use this tool versus alternatives; no when-not-to-use or context provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
send_notificationB
Send a notification on macOS using osascript
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | Title of the notification | |
| message | Yes | Main message content | |
| subtitle | No | Optional subtitle | |
| sound | No | Whether to play the default notification sound |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It specifies the platform ('macOS') but fails to describe the tool's behavior such as whether it is blocking, what it returns, or error conditions (e.g., if osascript is unavailable). Minimal disclosure beyond the platform.
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, clear sentence with no unnecessary words. It is appropriately front-loaded and efficient for its purpose.
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?
The tool has 4 parameters (2 required) and no output schema or annotations. The description does not address return values, errors, or platform dependencies beyond mentioning macOS. This is insufficient for reliable agent invocation.
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 baseline is 3. The description adds no additional meaning beyond the schema's param descriptions, which already cover title, message, subtitle, and sound.
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 action ('send a notification') and the resource ('macOS' via 'osascript'), and it is distinct from sibling tools which involve user prompts, file selection, speech output, and screenshots.
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?
No guidance is provided on when to use this tool versus alternatives. There is no mention of scenarios or exclusion criteria, leaving the agent to infer based solely on the tool name and sibling context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
speakC
Speak text using macOS text-to-speech
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to speak | |
| voice | No | Voice to use (defaults to system voice) | |
| rate | No | Speech rate (-50 to 50, defaults to 0) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden for behavioral details. It only states 'Speak text,' omitting any mention of side effects (e.g., audio output), blocking behavior, or system requirements, which is insufficient for safe invocation.
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, concise sentence that immediately conveys the tool's function. It is appropriately front-loaded without unnecessary words, though slightly more detail could be added without harming conciseness.
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 simplicity of the tool and the comprehensive schema, the description is minimally adequate. However, it lacks mention of return value or behavior, which would be expected for a tool with no output schema.
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?
The input schema covers 100% of parameters with descriptions, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides, but it does not detract either.
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 action ('Speak') and the resource ('text using macOS text-to-speech'), making the purpose unambiguous. It is distinct from sibling tools like prompt_user or take_screenshot, though no explicit differentiation is provided.
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?
No guidance is given on when to use this tool versus alternatives. There is no mention of context, prerequisites, or when not to use it, leaving the agent to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
take_screenshotC
Take a screenshot using macOS screencapture
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | Path where to save the screenshot | |
| type | Yes | Type of screenshot to take | |
| format | No | Image format | |
| hideCursor | No | Whether to hide the cursor | |
| shadow | No | Whether to include the window shadow (only for window type) | |
| timestamp | No | Timestamp to add to filename |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description bears full burden. Mentions 'macOS screencapture' to hint at system call, but fails to state that it saves to file, requires display permissions, or that it blocks execution. No behavioral traits disclosed beyond basic action.
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?
One sentence, no extra words, efficient. However, lacks structure (e.g., bullet points) that could improve readability for such a multi-param tool.
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 no output schema and no annotations, description is too sparse. Does not explain return value (saved file path?), does not mention side effects (file write), and omits important nuances like when to use different screenshot types.
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 baseline is 3. Description adds no extra meaning beyond what schema already provides for parameters.
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?
Clear verb (take) and resource (screenshot) with specific underlying tool (macOS screencapture). Distinguishes from sibling tools which are all unrelated. Could mention the types of screenshots (fullscreen, window, selection) but schema covers that.
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?
No guidance on when to use this tool vs alternatives. No explicit context for when to capture full screen vs window vs selection, or when to use timestamp feature.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
5 tool updates
v1.0.0- First observed
prompt_user - First observed
select_file - First observed
send_notification - First observed
speak - First observed
take_screenshot
TDQS
Scored across 5 tools
Each tool targets a distinctly different macOS capability: user input, file selection, notification, text-to-speech, and screenshot. No overlap in purpose.
All tool names follow an imperative verb pattern with optional noun (e.g., prompt_user, select_file, send_notification, take_screenshot), and 'speak' fits as a single-verb imperative.
With 5 tools covering common macOS interactions, the count is well-scoped for a utility server—not too many and not too few.
The set covers core macOS utilities (notification, dialogs, TTS, screenshot), though the server name suggests a narrower focus on notifications. Minor additions like clipboard or open URL could enhance completeness.
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