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 multizenteam · MCP Server · ★ 196
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is multizen-browser safe to install? View the security audit →
MultiZen A browser library for AI agents and human operators. Local Chromium profiles with their own cookies, fingerprint, and proxy. Drive them through MCP from Cursor, Claude Desktop, or any MCP client. Step in manually whenever the agent hits a CAPTCHA or 2FA prompt. <img alt="Stars
| Stars | 196 |
| Forks | 30 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.8826496301682/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-06 |
| Created | 2023-06-18 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~17k |
These tools work well together with multizen-browser for enhanced workflows:
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multizen-browser is Anti-detect browser for AI agents and human operators. Isolated Chromium profiles (cookies, fingerprint, proxy), driven through MCP.. It is categorized as a MCP Server with 196 GitHub stars.
multizen-browser is primarily written in TypeScript. It covers topics such as ai-agents, anti-detect, antidetect-browser.
You can find installation instructions and usage details in the multizen-browser GitHub repository at github.com/multizenteam/multizen-browser. The project has 196 stars and 30 forks, indicating an active community.
multizen-browser is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to multizen-browser on Agent Skills Hub include mcp-gearbox, Uni-CLI, 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: