camofox-browser: Anti-detection browser server for AI agents — REST API wrapping Camoufox engine with OpenClaw plugin support

by redf0x1 · MCP Server · ★ 437

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

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

How to install camofox-browser

git clone https://github.com/redf0x1/camofox-browser.git
npm install -g camofox-browser

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

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.

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-agentanti-detectionautomationbot-detectionbrowser-automationbrowser-servercamofoxcamoufoxdockerexpress

Quick Facts

Stars437
Forks64
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score74/100
Open Issues2
Last Updated2026-11-06
Created2026-02-15
Platformsbrowser, docker, mcp, node
Est. Tokens~25k

About camofox-browser

CamoFox Browser Server Anti-detection browser server for AI agents — TypeScript REST API wrapping the Camoufox stealth browser engine Table of Contents Why CamoFox? Features Preview Status Quick Start CLI Console Capture Playwright Tracing Security Usage with AI Agents Architecture API Reference Structured Extract Search Macros Geo Presets Environment Variables Deployment Used With Project...

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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:

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