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 Epistates · MCP Server · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MCPSafari safe to install? View the security audit →
MCPSafari: Native Safari MCP Server for AI Agents Give Claude, Cursor, or any MCP-compatible AI full native control of Safari on macOS. Navigate tabs, click/type/fill forms (even React), read HTML/accessibility trees, execute JS, capture screenshots, inspect console & network — all with 23 secure tools. Zero Chrome overhead, Apple Silicon optimized, token-authenticated, and built with official Swift + Manifest V3 Safari Extension. Why MCPSafari? Smarter element targeting (UID + CSS + text + coords + interactive ranking) Works flawlessly with complex sites Local & private (runs on your Mac) Perfect drop-in for Mac-first agent workflows macOS 14+ • Safari 17+ • Xcode 26+ Built with the official swift-sdk and a Manifest V3 Safari Web Extension. Why Safari over Chrome? 40–60% less CPU/heat on Apple Silicon Keeps your existing Safari logins/cookies Native accessibility tree (better than Playwright for complex UIs) How It Works
| Stars | 55 |
| Forks | 6 |
| Language | JavaScript |
| Category | MCP Server |
| Quality Score | 73.8728597482314/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2026-03-23 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~17k |
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MCPSafari is MCPSafari: Native Safari MCP Server for AI Agents. It is categorized as a MCP Server with 55 GitHub stars.
MCPSafari is primarily written in JavaScript. It covers topics such as accessibility, agentic-ai, ai-agent-tools.
You can find installation instructions and usage details in the MCPSafari GitHub repository at github.com/Epistates/MCPSafari. The project has 55 stars and 6 forks, indicating an active community.
The top alternatives to MCPSafari on Agent Skills Hub include safari-mcp, browser-debugger-cli, mcp-batchit. 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: