by achiya-automation · MCP Server · ★ 217
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is safari-mcp safe to install? View the security audit →
🦁 Safari MCP The browser for your coding agent. Your real Safari, logged in — no Chrome, no heat, no headless. <img src="https://img.shields.io/badge/VSCode-InstallServer-0078d4?logo=visual-studio-code&logoColor=white" alt="Ins
npx safari-mcp
npm install -g safari-mcpTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 217 |
| Forks | 30 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 78.6357213833891/100 |
| Open Issues | 13 |
| Last Updated | 2026-10-14 |
| Created | 2026-03-18 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~20k |
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safari-mcp is Native Safari browser automation for AI agents. 98 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chrome DevTools MCP with 40-60% less CPU/hea. It is categorized as a MCP Server with 217 GitHub stars.
safari-mcp is primarily written in JavaScript. It covers topics such as ai-agents, ai-tools, apple-silicon.
The README on GitHub (github.com/achiya-automation/safari-mcp) gives: npx safari-mcp , then npm install -g safari-mcp. Usage details are in the same README.
safari-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to safari-mcp on Agent Skills Hub include MCPSafari, browser-mcp, hanzi-browse. 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: