by swimmwatch · MCP Server · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cloakbrowser-mcp safe to install? View the security audit →
cloakbrowser-mcp [](https://github.com
npx -y cloakbrowser-mcp@latest
npx -y cloakbrowser-mcp@latest doctorTaken 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 | 66 |
| Forks | 9 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.8116743638587/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-29 |
| Created | 2026-05-21 |
| Platforms | browser, docker, mcp, node |
| Est. Tokens | ~17k |
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cloakbrowser-mcp is ⚡ CloakBrowser MCP server for AI agents: Playwright-powered browsing, clean tool forwarding, Docker support, and multi-session HTTP transport.. It is categorized as a MCP Server with 66 GitHub stars.
cloakbrowser-mcp is primarily written in TypeScript. It covers topics such as ai-agents, ai-tools, browser-automation.
The README on GitHub (github.com/swimmwatch/cloakbrowser-mcp) gives: npx -y cloakbrowser-mcp@latest , then npx -y cloakbrowser-mcp@latest doctor. Usage details are in the same README.
cloakbrowser-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cloakbrowser-mcp on Agent Skills Hub include safari-mcp, MCPSafari, camofox-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: