No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by peakmojo · MCP Server · ★ 461
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is applescript-mcp safe to install? View the security audit →
AppleScript MCP Server (Dual access: python and node.js) Overview A Model Context Protocol (MCP) server that lets you run AppleScript code to interact with Mac. This MCP is intentionally designed to be simple, straightforward, intuitive, and require minimal setup. I can't believe how simple and powerful it is. The core code is https://github.com/user-attachments/assets/b85e63ba-fb26-4918-8e6d-2377254ee388 Features Run AppleScript to access Mac applications and data Interact with Notes, Calendar, Contacts, Messages, and more Search for files using Spotlight or Finder Read/write file contents and execute shell commands Remote execution support via SSH Example Prompts What's my current battery percent
| Stars | 461 |
| Forks | 58 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 81.132777011311/100 |
| Open Issues | 3 |
| Last Updated | 2026-02-22 |
| Created | 2025-04-22 |
| Platforms | mcp, python |
| Est. Tokens | ~4k |
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applescript-mcp is MCP server that execute applescript giving you full control of your Mac. It is categorized as a MCP Server with 461 GitHub stars.
applescript-mcp is primarily written in Python. It covers topics such as applescript, macos, mcp.
You can find installation instructions and usage details in the applescript-mcp GitHub repository at github.com/peakmojo/applescript-mcp. The project has 461 stars and 58 forks, indicating an active community.
applescript-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to applescript-mcp on Agent Skills Hub include mac_messages_mcp, safari-mcp, apple-mail-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: