What is macOS Automator?

50/100
Trust Score (D)
⚠️ Use Caution

macOS Automator is a automation|productivity that Automates macOS tasks through AppleScript and JavaScript for Automation.. It has a Nerq Trust Score of 50/100 (D). 706 GitHub stars. Published by https://github.com/steipete/macos-automator-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
D
GRADE
706
STARS
0
DOWNLOADS

What macOS Automator Does

macOS Automator is a mcp_server in the automation|productivity category. Automates macOS tasks through AppleScript and JavaScript for Automation.. It is published by https://github.com/steipete/macos-automator-mcp and has no specified license. With 706 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use macOS Automator

macOS Automator is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorhttps://github.com/steipete/macos-automator-mcp
Categoryautomation|productivity
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=macos-automator

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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automate-office-tasks-using-chatgpt-python59123
Google Workspace Automation4797
automated-task-and-reminder-app530

Frequently Asked Questions

What is macOS Automator used for?
macOS Automator is a automation|productivity tool. Automates macOS tasks through AppleScript and JavaScript for Automation..
Is macOS Automator free?
License: Check project page. macOS Automator has 706 GitHub stars.
Is macOS Automator safe?
macOS Automator has a Nerq Trust Score of 50/100 (D). Use with caution.
What are alternatives to macOS Automator?
Top alternatives: automate-office-tasks-using-chatgpt-python, Google Workspace Automation, automated-task-and-reminder-app. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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