stealth-browser-mcp: Stealth browser automation for AI agents over MCP and the Chrome DevTools Protocol

by vibheksoni · MCP Server · ★ 3.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: browser-use, Playwright MCP & AI Browser Agents

How to install stealth-browser-mcp

git clone https://github.com/vibheksoni/stealth-browser-mcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agent-toolsai-toolsanthropicanti-bot-bypassautomation-toolsbrowser-automationchrome-devtoolsclaude-mcpcloudflare-bypassdeveloper-tools

Quick Facts

Stars3,341
Forks409
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score70/100
Last Updated2026-11-05
Created2025-08-09
Platformsbrowser, claude-code, mcp, python
Est. Tokens~17k

About stealth-browser-mcp

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.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse MCP Server tools