Anti-Detect Browser — The First Fingerprint Browser Built for AI Agents

Launch Chromium with real-device fingerprints via standard Playwright APIs. Each browser gets a unique, consistent digital identity from 500+ parameters across 30+ categories (Canvas, WebGL, Audio, Fonts, WebRTC, WebGPU…) — collected from actual devices, not synthetic.

What makes it different:

• 🤖 Agent-first design — MCP server mode lets AI agents launch, navigate, screenshot, and interact with fingerprint browsers through tool calls. The first anti-detect browser built for agentic workflows.
• 👁️ Live View — Watch headless browsers in real time from the dashboard. Debug AI agent actions, share URLs with teammates, observe automation as it happens.
• 🎭 Real fingerprints, not random noise — Every fingerprint comes from an actual device. Internally consistent across all browser APIs, passing even advanced anti-bot checks.
• 🔌 Zero learning curve — Standard Playwright API. Drop in anti-detect-browser and your existing scripts work with fingerprint protection.

Links: npm: anti-detect-browser · Dashboard: https://antibrow.com · API: https://antibrow.com/api/v1/ · Docs: https://antibrow.com/docs

Setup

npm install anti-detect-browser
npx playwright install chromium
npx playwright install-deps chromium  # Linux: system libs

Quick Start

import { AntiDetectBrowser } from 'anti-detect-browser'
const ab = new AntiDetectBrowser({ key: 'your-api-key' })

const { browser, page } = await ab.launch({
  fingerprint: { tags: ['Windows 10', 'Chrome'] },
  profile: 'my-account-01',
  proxy: 'http://user:pass@host:port',  // optional
})

await page.goto('https://example.com')  // standard Playwright from here
await browser.close()  // auto-syncs cookies & storage to cloud

Profiles — Persistent Browser Identities

Profiles save cookies, localStorage, and session data to the cloud. Same profile name = same logged-in state next time, even across machines.

// First launch — login
const { browser, page } = await ab.launch({ profile: 'shop-01' })
await page.goto('https://shop.example.com/login')
// ... login ...
await browser.close()

// Later — already logged in, session restored from cloud
const { page: p2 } = await ab.launch({ profile: 'shop-01' })
await p2.goto('https://shop.example.com/dashboard')

Fingerprint Tags

Filter by: Microsoft Windows, Apple Mac, Android, Linux, iPad, iPhone, Edge, Chrome, Safari, Firefox, Desktop, Mobile, Windows 7, Windows 8, Windows 10

await ab.launch({ fingerprint: { tags: ['Apple Mac', 'Safari'] } })
await ab.launch({ fingerprint: { tags: ['Android', 'Mobile', 'Chrome'] } })
await ab.launch({ fingerprint: { tags: ['Windows 10', 'Chrome'], minBrowserVersion: 130 } })

Live View — Watch Headless Browsers in Real Time

Stream any headless session to the antibrow.com dashboard. Share the URL — anyone can watch the browser screen live. Perfect for debugging AI agent actions or team monitoring.

const { page, liveView } = await ab.launch({
  headless: true,
  liveView: true,
  profile: 'price-monitor',
  fingerprint: { tags: ['Windows 10', 'Chrome'] },
})
console.log('Watch live:', liveView.viewUrl)

Visual Identification

Run many browsers at once — each gets a floating label, title prefix, and colored border:

await ab.launch({ profile: 'twitter-main', label: '@myhandle', color: '#e74c3c' })
await ab.launch({ profile: 'twitter-alt', label: '@support', color: '#3498db' })

Inject into Existing Playwright

Already have Playwright scripts? Add fingerprints without rewriting:

import { chromium } from 'playwright'
import { applyFingerprint } from 'anti-detect-browser'

const browser = await chromium.launch()
const context = await browser.newContext()
await applyFingerprint(context, {
  key: 'your-api-key',
  fingerprint: { tags: ['Windows 10', 'Chrome'] },
  profile: 'my-profile',
})
const page = await context.newPage()

MCP Server — AI Agent Browser Control

The first anti-detect browser with native MCP support. AI agents (Claude, GPT, etc.) can launch and control fingerprint browsers through tool calls.

{
  "mcpServers": {
    "anti-detect-browser": {
      "command": "npx",
      "args": ["anti-detect-browser", "--mcp"],
      "env": { "ANTI_DETECT_BROWSER_KEY": "your-api-key" }
    }
  }
}

mcporter setup:

mcporter config add anti-detect-browser \
  --command 'npx anti-detect-browser --mcp' \
  --env ANTI_DETECT_BROWSER_KEY=your-key

MCP Tools

⚠️ MCP session note: stdio transport spawns a new process per call. For multi-step workflows (launch → navigate → screenshot), use SDK scripts or configure a persistent MCP transport.

REST API

Base: https://antibrow.com/api/v1/ — all endpoints require Authorization: Bearer <api-key>.

Profiles:

GET    /profiles              # List all
POST   /profiles              # Create (body: {"name":"x","tags":["Windows 10","Chrome"]})
GET    /profiles/:name        # Get details + dataUrl for fingerprint download
DELETE /profiles/:name        # Delete

POST response includes dataUrl — a presigned URL (10 min) to the full fingerprint JSON (~9MB).

Fingerprints:

GET /fingerprints/fetch       # Fetch matching fingerprint (query: tags, minBrowserVersion, etc.)
GET /fingerprints/versions    # Available browser versions

Workflow Examples

Multi-Account Management

const accounts = [
  { profile: 'twitter-1', label: '@brand', color: '#1DA1F2' },
  { profile: 'twitter-2', label: '@support', color: '#FF6B35' },
  { profile: 'twitter-3', label: '@personal', color: '#6C5CE7' },
]
for (const acct of accounts) {
  const { page } = await ab.launch({
    fingerprint: { tags: ['Windows 10', 'Chrome'] },
    proxy: getNextProxy(),
    ...acct,
  })
  await page.goto('https://twitter.com')
}

Scraping with Fingerprint Rotation

for (const url of urlsToScrape) {
  const { browser, page } = await ab.launch({
    fingerprint: { tags: ['Desktop', 'Chrome'], minBrowserVersion: 125 },
    proxy: rotateProxy(),
  })
  await page.goto(url)
  const data = await page.evaluate(() => document.body.innerText)
  saveData(url, data)
  await browser.close()
}

AI Agent + Live View Monitoring

const { page, liveView } = await ab.launch({
  headless: true, liveView: true,
  profile: 'price-monitor',
  fingerprint: { tags: ['Windows 10', 'Chrome'] },
})
console.log('Dashboard:', liveView.viewUrl)  // share with team
// Agent monitors prices, team watches live

Known Limitations

1. WebGL on GPU-less servers — Reports SwiftShader renderer. Not an SDK issue; hardware limitation of headless environments.
2. Free tier — 2 browser profiles. Upgrade at https://antibrow.com for more.