Camouflow — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

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 Tort1k558 · MCP Server · ★ 52

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

🔒 Is Camouflow safe to install? View the security audit →

About Camouflow

CamouFlow English · Русский A local-first desktop workspace for browser profiles, proxies and visual automation. Different profiles. One workflow. On your computer — under your control. 📚 Documentation (RU/EN): camouflow.site/docs · API reference: camouflow.site/api Describe once. Review. Replay without a model. Try the isolated catalog demo, inspect a structured table, export JSON/CSV, then turn recorded actions into a parameterized scenario. Read-only replay checks outputs using the existing automation engine, without another model request. AI workflow quickstart · [CLI / optional MCP / n8n examp

ai-automationanti-detectantidetectantidetect-browserautomationbrowserbrowser-automationcamoufoxcloakbrowserlocal-first

Quick Facts

Stars52
Forks11
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65.1543662474607/100
Last Updated2026-10-03
Created2026-01-12
Platformsbrowser, mcp, python
Est. Tokens~17k

Compatible Skills

These tools work well together with Camouflow for enhanced workflows:

  • camoufox-cli — semantic(0.47)+complementary+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • bux — semantic(0.45)+complementary+same_lang+similar_pop+shared_platform (66%)

Camouflow alternative? Top 6 similar tools

Looking for a Camouflow alternative? If you're comparing Camouflow with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • multizen-browser by multizenteam · ⭐ 161

    Anti-detect browser for AI agents and human operators. Isolated Chromium profiles (cookies, fingerprint, proxy

  • docker-stealthy-auto-browse by psyb0t · ⭐ 85

    Stealth browser automation that actually works. Runs Camoufox (custom Firefox) in Docker with zero Chrome DevT

  • camofox-mcp by redf0x1 · ⭐ 99

    Anti-detection browser MCP server for AI agents — navigate, interact, and automate the web without getting blo

  • cloakbrowser-mcp by swimmwatch · ⭐ 66

    ⚡ CloakBrowser MCP server for AI agents: Playwright-powered browsing, clean tool forwarding, Docker support, a

  • browser-debugger-cli by szymdzum · ⭐ 151

    CLI tool for agents to quickly access browser telemetry (DOM, network, console) via Chrome DevTools Protocol.

  • apitap by n1byn1kt · ⭐ 126

    CLI, MCP server, and npm library that turns any website into an API — no docs, no SDK, no browser.

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Frequently Asked Questions

What is Camouflow?

Camouflow is Local-first browser automation with Camoufox and CloakBrowser: reviewed AI workflows, structured extraction, deterministic replay and local MCP/n8n integrations.. It is categorized as a MCP Server with 52 GitHub stars.

What programming language is Camouflow written in?

Camouflow is primarily written in Python. It covers topics such as ai-automation, anti-detect, antidetect.

How do I install or use Camouflow?

You can find installation instructions and usage details in the Camouflow GitHub repository at github.com/Tort1k558/Camouflow. The project has 52 stars and 11 forks, indicating an active community.

What license does Camouflow use?

Camouflow is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Camouflow?

The top alternatives to Camouflow on Agent Skills Hub include multizen-browser, docker-stealthy-auto-browse, camofox-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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