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 vibheksoni · MCP Server · ★ 2.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is stealth-browser-mcp safe to install? View the security audit →
Stealth Browser MCP Undetectable browser automation for MCP-compatible AI agents. Bypass Cloudflare, antibot systems, and social media blocks with real browser instances powered by nodriver + Chrome DevTools Protocol + FastMCP. Table of Contents Demo Features Quickstart Modular Architecture Toolbox Stealth vs Playwright MCP Troubleshooting Examples Showcase Roadmap Contributing Support License Demo <img src="medi
| Stars | 2,132 |
| Forks | 293 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.056491688272/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-21 |
| Created | 2025-08-09 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~17k |
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stealth-browser-mcp is The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.. It is categorized as a MCP Server with 2.1k GitHub stars.
stealth-browser-mcp is primarily written in Python. It covers topics such as ai-agent-tools, ai-tools, anthropic.
You can find installation instructions and usage details in the stealth-browser-mcp GitHub repository at github.com/vibheksoni/stealth-browser-mcp. The project has 2.1k stars and 293 forks, indicating an active community.
stealth-browser-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to stealth-browser-mcp on Agent Skills Hub include mcp-nixos, maverick-mcp, linkedin-mcp-server. 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: