macos-automator-mcp: An MCP server to run AppleScript and JXA (JavaScript for Automation) to macOS

by steipete · MCP Server · ★ 883

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install macos-automator-mcp

git clone https://github.com/steipete/macos-automator-mcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars883
Forks64
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score63/100
Open Issues1
Last Updated2026-09-13
Created2025-05-15
Platformsmcp, node
Est. Tokens~19k

About macos-automator-mcp

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).

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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