macOS Automator▌
by steipete
Automate macOS tasks with AppleScript and JavaScript. Control apps, files, and system efficiently using macOS Automator'
Automates macOS tasks through AppleScript and JavaScript for Automation with a rich library of pre-defined scripts for application control, file operations, and system interactions.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Mac users wanting to automate repetitive tasks
- / Developers building Mac automation workflows
- / AI assistants that need to control Mac applications
- / Users who want to integrate Mac controls with LLM workflows
capabilities
- / Execute AppleScript and JXA scripts
- / Control macOS applications like Safari, Finder, and Terminal
- / Perform file operations and system interactions
- / Access library of 200+ pre-built automation scripts
- / Toggle system settings like dark mode
- / Extract data from applications
what it does
Automates macOS tasks by executing AppleScript and JavaScript for Automation scripts to control applications, files, and system functions. Includes 200+ pre-built automation recipes for common Mac operations.
about
macOS Automator is a community-built MCP server published by steipete that provides AI assistants with tools and capabilities via the Model Context Protocol. Automate macOS tasks with AppleScript and JavaScript. Control apps, files, and system efficiently using macOS Automator' It is categorized under productivity, developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install macOS Automator 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.
license
MIT
macOS Automator is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
macOS Automator MCP 🤖 - Your Friendly Neighborhood RoboScripter™

🎯 Mission Control: Teaching Robots to Click Buttons Since 2024
Welcome to the automated future where your Mac finally does what you tell it to! This Model Context Protocol (MCP) server transforms your AI assistant into a silicon-based intern who actually knows AppleScript and JavaScript for Automation (JXA).
No more copy-pasting scripts like a caveman - let the robots handle the robot work! Our knowledge base contains over 200 pre-programmed automation sequences, loaded faster than you can say "Hey Siri, why don't you work like this?"
🚀 Why Let Robots Run Your Mac?
- Remote Control Reality: Execute AppleScript/JXA scripts via MCP - it's like having a tiny robot inside your Mac!
- Knowledge Base of Power: 200+ pre-built automation recipes. From "toggle dark mode" to "extract all URLs from Safari" - we've got your robot needs covered.
- App Whisperer: Control any macOS application programmatically. Make Finder dance, Safari sing, and Terminal... well, terminate things.
- AI Workflow Integration: Connect your Mac to the AI revolution. Your LLM can now actually DO things instead of just talking about them!
🔧 Robot Requirements (Prerequisites)
- Node.js (version >=18.0.0) - Because even robots need a runtime
- macOS - Sorry Windows users, this is an Apple-only party 🍎
- ⚠️ CRITICAL: Permission to Automate (Your Mac's Trust Issues):
- The application running THIS MCP server (e.g., Terminal, your Node.js application) requires explicit user permissions on the macOS machine where the server is running.
- Automation Permissions: To control other applications (Finder, Safari, Mail, etc.).
- Go to: System Settings > Privacy & Security > Automation.
- Find the application running the server (e.g., Terminal) in the list.
- Ensure it has checkboxes ticked for all applications it needs to control.
- See example:
docs/automation-permissions-example.png(placeholder image).
- Accessibility Permissions: For UI scripting via "System Events" (e.g., simulating clicks, keystrokes).
- Go to: System Settings > Privacy & Security > Accessibility.
- Add the application running the server (e.g., Terminal) to the list and ensure its checkbox is ticked.
- First-time attempts to control a new application or use accessibility features may still trigger a macOS confirmation prompt, even if pre-authorized. The server itself cannot grant these permissions.
🏃♂️ Quick Start: Release the Robots!
The easiest way to deploy your automation army is via npx. No installation needed - just pure robot magic!
Add this to your MCP client's mcp.json and watch the automation begin:
{
"mcpServers": {
"macos_automator": {
"command": "npx",
"args": [
"-y",
"@steipete/macos-automator-mcp@latest"
]
}
}
}
🛠️ Robot Workshop Mode (Local Development)
Want to tinker with the robot's brain? Clone the repo and become a robot surgeon!
-
Clone the repository:
git clone https://github.com/steipete/macos-automator-mcp.git cd macos-automator-mcp npm install # Ensure dependencies are installed -
Configure your MCP client: Update your MCP client's configuration to point to the absolute path of the
start.shscript within your cloned repository.Example
mcp.jsonconfiguration snippet:{ "mcpServers": { "macos_automator_local": { "command": "/absolute/path/to/your/cloned/macos-automator-mcp/start.sh", "env": { "LOG_LEVEL": "DEBUG" } } } }Important: Replace
/absolute/path/to/your/cloned/macos-automator-mcp/start.shwith the correct absolute path on your system.The
start.shscript will automatically usetsxto run the TypeScript source directly if a compiled version is not found, or run the compiled version fromdist/if available. It respects theLOG_LEVELenvironment variable.Note for Developers: The
start.shscript, particularly if modified to remove any pre-existing compileddist/server.jsbefore execution (e.g., by addingrm -f dist/server.js), is designed to ensure you are always running the latest TypeScript code from thesrc/directory viatsx. This is ideal for development to prevent issues with stale builds. For production deployment (e.g., when published to npm), a build process would typically create a definitivedist/server.jswhich would then be the entry point for the published package.
🤖 Robot Toolbox
1. execute_script - The Script Launcher 9000
Your robot's primary weapon for macOS domination. Feed it AppleScript or JXA, and watch the magic happen!
Scripts can be provided as inline content (script_content), an absolute file path (script_path), or by referencing a script from the built-in knowledge base using its unique kb_script_id.
Script Sources (mutually exclusive):
script_content(string): Raw script code.script_path(string): Absolute POSIX path to a script file (e.g.,.applescript,.scpt,.js).kb_script_id(string): The ID of a pre-defined script from the server's knowledge base. Use theget_scripting_tipstool to discover available script IDs and their functionalities.
Language Specification:
language(enum: 'applescript' | 'javascript', optional): Specify the language.- If using
kb_script_id, the language is inferred from the knowledge base script. - If using
script_contentorscript_pathandlanguageis omitted, it defaults to 'applescript'.
- If using
Passing Inputs to Scripts:
arguments(array of strings, optional):- For
script_path: Passed as standard arguments to the script'son run argv(AppleScript) orrun(argv)(JXA) handler. - For
kb_script_id: Used if the pre-defined script is designed to accept positional string arguments (e.g., replaces placeholders like--MCP_ARG_1,--MCP_ARG_2). Check the script'sargumentsPromptfromget_scripting_tips.
- For
input_data(JSON object, optional):- Primarily for
kb_script_idscripts designed to accept named, structured inputs. - Values from this object replace placeholders in the script (e.g.,
--MCP_INPUT:yourKeyName). SeeargumentsPromptfromget_scripting_tips. - Values (strings, numbers, booleans, simple arrays/objects) are converted to their AppleScript literal equivalents.
- Primarily for
Other Options:
timeout_seconds(integer, optional, default: 60): Maximum execution time.output_format_mode(enum, optional, default: 'auto'): Controlsosascriptoutput formatting flags.'auto': (Default) Uses human-readable for AppleScript (-s h), and direct output (no-sflags) for JXA.'human_readable': Forces-s h(human-readable output, mainly for AppleScript).'structured_error': Forces-s s(structured error reporting, mainly for AppleScript).'structured_output_and_error': Forces-s ss(structured output for main result and errors, mainly for AppleScript).'direct': No-sflags are used (recommended for JXA, also the behavior for JXA inautomode).
include_executed_script_in_output(boolean, optional, default: false): If true, the output will include the full script content (after any placeholder substitutions for knowledge base scripts) or the script path that was executed. This is appended as an additional text part in the output content array.include_substitution_logs(boolean, optional, default: false): If true, detailed logs of placeholder substitutions performed on knowledge base scripts are included in the output. This is useful for debugging howinput_dataandargumentsare processed and inserted into the script. The logs are prepended to the script output on success or appended to the error message on failure.report_execution_time(boolean, optional, default: false): Iftrue, an additional message with the formatted script execution time will be included in the response content array.
SECURITY WARNING & MACOS PERMISSIONS: (Same critical warnings as before about arbitrary script execution and macOS Automation/Accessibility permissions).
Examples:
- (Existing examples for inline/file path remain relevant)
- Using Knowledge Base Script by ID:
{ "toolName": "execute_script", "input": { "kb_script_id": "safari_get_active_tab_url", "timeout_seconds": 10 } } - Using Knowledge Base Script by ID with
input_data:{ "toolName": "execute_script", "input": { "kb_script_id": "finder_create_folder_at_path", "input_data": { "folder_name": "New MCP Folder", "parent_path": "~/Desktop" } } }
Response Format:
The execute_script tool returns a response in the following format:
{
content: Array<{
type: 'text';
text: string;
}>;
isError?: boolean;
}
content: An array of text content items containing the script outputisError: (boolean, optional) Set totruewhen the script execution produced an error. This flag is set when:- The script output (stdout) starts with "Error" (case-insensitive)
- This helps clients easily determine if the execution failed without parsing the output text
Example Response (Success):
{
"content": [{
"type": "text",
"text": "Script executed successfully"
}]
}
Example Response (Error):
{
"content": [{
"type": "text",
"text": "Error: Cannot find application 'Safari'"
}],
"isError": true
}
2. get_scripting_tips - The Robot's Encyclopedia
Your personal automation librari
FAQ
- What is the macOS Automator MCP server?
- macOS Automator is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for macOS Automator?
- This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★30 reviews- ★★★★★Soo Flores· Dec 12, 2024
We evaluated macOS Automator against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Dev Thompson· Dec 12, 2024
We wired macOS Automator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Hiroshi Bansal· Dec 8, 2024
macOS Automator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Dec 4, 2024
Useful MCP listing: macOS Automator is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Nov 23, 2024
We evaluated macOS Automator against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Yash Thakker· Nov 15, 2024
macOS Automator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ira Bansal· Nov 3, 2024
Useful MCP listing: macOS Automator is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Omar Choi· Oct 22, 2024
Strong directory entry: macOS Automator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Chaitanya Patil· Oct 14, 2024
I recommend macOS Automator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Oct 6, 2024
We wired macOS Automator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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