CBrowser: Cognitive Browser Automation

Browser automation that thinks like your users. 130 MCP tools, 21 built-in personas, a CLI, and a library. It predicts where a real person gives up before they do.

npx cbrowser agent-ready-audit "https://your-site.com" --html

Quickstart

# 1. Install (Node.js 20.9 or newer). Installing also downloads Chromium.
npm install -g cbrowser

# 2. Check the environment
cbrowser doctor

# 3. Free, keyless audits
cbrowser agent-ready-audit "https://your-site.com" --html
cbrowser empathy-audit "https://your-site.com" --personas cognitive-adhd,low-vision-magnified --html

# 4. A simulated visitor (needs an Anthropic API key)
cbrowser config set-api-key <your-anthropic-key>
cbrowser cognitive-journey --persona first-timer --start "https://your-site.com" --goal "sign up"

If the browser download was skipped (for example with --ignore-scripts), run npx playwright install chromium.

Stuck? Ask the docs. cbrowser ask sends your question to cbrowser.ai and prints an AI answer grounded in the documentation, with its sources. No account or API key is needed; it is rate-limited.

cbrowser ask "Which persona should I use for a screen reader user?"

The question_answer MCP tool does the same from Claude, including on the local npx cbrowser mcp-server.

What needs an API key

Since 20.0 nothing falls back to a keyless guess. The old keyless modes of explore and competitive-benchmark reported goals as reached when a goal word, "the" included, appeared on the page, so they now refuse without a key. A journey that is replayed from a saved trace is free (see Replay).

Output for scripts and screen readers: --no-color (or NO_COLOR), --plain (no emoji or box drawing; pass and fail marks become [PASS] and [FAIL]), and --json-output (one JSON envelope on stdout).

Table of Contents

• Quickstart
• Upgrading to 20.0.0
• Cognitive Transport Chain
• Visual Overlays and Attention Analysis
• AI Friendliness Suite
• Cognitive User Simulation
• Accessibility Empathy Testing
• Constitutional AI Safety
• Browser Control from the CLI
• Natural Language Testing
• Visual Testing
• Screen Capture
• Competitive UX Benchmark
• Geo Proxy
• MCP Server Integration
• CI/CD Integration
• API Reference
• Configuration
• Enterprise Edition
• License

Upgrading to 20.0.0

20.0 is a breaking release. Most of it makes commands that used to succeed silently either do what they claim or fail out loud. The full list is in CHANGELOG.md.

Runtime

• Node.js 20.9 or newer. Node 18 is end of life and sharp 0.35 dropped it; stay on cbrowser 19.x if you need Node 18.

Behaviour you may notice

• The default page size is 1920x1080 (was 1280x800), the size desktop means everywhere else. Set CBROWSER_VIEWPORT_WIDTH/CBROWSER_VIEWPORT_HEIGHT or viewport in the config file to keep the old size.
• Pages render in the host's locale and timezone unless you set --locale/--timezone, CBROWSER_LOCALE/CBROWSER_TIMEZONE or the config file (it was en-US and America/Denver). Env vars and the config file are no longer overridden by built-in values.
• A one-off --device or --geo no longer sticks to later commands.
• explore, CBrowser.journey() and competitive-benchmark need an Anthropic API key. Their keyless heuristic modes are gone (see above).
• Commands that fail exit 1. That includes unknown subcommands, failed clicks and navigations through the daemon, record start/stop/save (which never recorded across commands and now refuse), perf audit and visual compare failures, and daemon status when nothing is running.
• Commands that check their flags reject flags they never read. --quiet is gone, since nothing read it.
• --json-output: extract, analyze and network list put their data in data. Other commands still return captured text lines in data.output.
• --plain and --json-output text keep pass, fail and warning marks as [PASS], [FAIL] and [WARN].
• With --html and an --output that does not end in .json, the HTML report goes to <name>.report.html instead of overwriting the JSON.
• repair-tests saves its report with --json-out <file>; --json prints it.
• Size names: mobile is 393x852, tablet 834x1194 and desktop 1920x1080 in every tool (the CLI's responsive and MCP responsive_test used smaller sizes). The old sizes remain as tablet-sm (768x1024) and desktop-md (1440x900); desktop-xl is 2560x1440.

MCP

• npx cbrowser mcp-server (stdio) now registers the same tool set as the hosted server, 130 tools plus 7 local-only ones. It had its own copy of 82 tools.
• Red-zone refusals from click, smart_click, press_key, type_text, drag and evaluate_script are tool errors with one shape (isError, zone: "red", howToRun). On the hosted server a refused call is refunded.
• get_network_requests returns the newest 50. manage_cookies set writes a session cookie unless expires is given.
• compare_personas_record_result and compare_personas_summarize are removed; nothing could create the session they needed.
• The five Enterprise marketing stubs use the Enterprise server's tool names and parameters.

CI

• The GitHub Action's sensitivity input is removed (test-suite never read it).

Upgrading from 18.x? The 19.0 change was the agent-ready accessibility axis becoming agentPerceivability: score.accessibility is score.agentPerceivability, summary.dynamicContentCount is summary.deferredLoadingPatterns, and comparison.bestAccessibility is comparison.bestAgentPerceivability.

Cognitive Transport Chain

The eight-layer Sequential Transport Chain computes how hard a page is for a given persona, and predicts whether they abandon. Each layer answers one question about the visitor:

The chain is sequential because attention is a budget, not a checklist. Each layer's cost is paid from whatever the layers before it left behind: a visitor who burned working memory just finding the button has less left for the form, and a persona who arrives at your pricing table already frustrated reads it differently from one who got there clean. That is why a page that exhausts people early scores differently from one that is uniformly hard, and why the bottleneck layer matters more than the average.

Two layers were split out of their neighbours because they fail for different reasons. Motor Procedure is separate from Motor because hitting a target and completing a sequence are different failures: you can land every click and still lose your place halfway through a form. Reading Attention is separate from Readability because decoding text and holding your place in it are different abilities: an ADHD reader typically decodes fine and loses the thread, and a single "reading" score cannot say that.

The chain runs through the MCP tool cognitive_effort (there is no CLI command for it):

cognitive_effort(url: "https://your-site.com", persona: "first-timer")
-> CTC score, per-layer breakdown, bottleneck layer, abandonment risk, motor overlay

Visual Overlays and Attention Analysis

See where users look, what they miss, and whether your calls to action capture attention, per persona. These are MCP tools:

Overlays: attention heatmap (CIE-Lab saliency on a grayscale base, red is high attention), motor accessibility (green, yellow or red per element by probability of a hit), attention quality (calls to action green, distractors red, headings blue) and a comparison diff (blue is persona A, red is persona B).

Metrics: CTA capture rate, value-prop salience, distractor ratio, quality score (0-100), entropy.

AI Friendliness Suite

Make your site work for AI agents as well as people:

cbrowser agent-ready-audit "https://your-site.com" --html
cbrowser ai-benchmark --urls "https://site-a.com,https://site-b.com" --html

The agent-perceivability axis measures whether a machine can perceive your elements (ARIA present, elements carry text). It is not a WCAG conformance score; run empathy-audit for that, and expect the two to differ.

Cognitive User Simulation

Research-backed cognitive traits and motivational values model how real users think, struggle and give up:

The Trait Index lists every trait with its citations, including Persistence, Resilience, Curiosity, Change Blindness, Anchoring Bias, Time Horizon, Attribution Style, Metacognitive Planning, Procedural Fluency, Transfer Learning, Authority Sensitivity, Emotional Contagion, Mental Model Rigidity, Interrupt Recovery, Reading Tendency and Site Familiarity.

Full documentation: Research Methodology · Trait Index · Bibliography

21 Built-in Personas

10 general: power-user, first-timer, mobile-user, screen-reader-user, elderly-user, impatient-user, distracted-user, careful-reader, explorer, task-focused

11 accessibility: motor-impairment-tremor, low-vision-magnified, cognitive-adhd, dyslexic-user, deaf-user, elderly-low-vision, color-blind-deuteranopia, autism-spectrum, intellectual-disability, aphasia-receptive, dyscalculia

cbrowser persona list shows them with any custom personas you have made.

Values System

Beyond cognitive traits, CBrowser models motivational values from three psychological frameworks:

See Values Framework.

Custom Personas

# Interactive questionnaire (13 core traits)
cbrowser persona-questionnaire start

# Comprehensive questionnaire (all 30 traits)
cbrowser persona-questionnaire start --comprehensive --name "my-tester"

# From a description
cbrowser persona create "A 68-year-old retiree who just got their first smartphone" --name retiree

Abandonment Detection

A cognitive journey stops when a realistic user would give up:

ABANDONED after 8 steps
Reason: Patience depleted (0.08) - "This is taking too long..."
Friction points:
  1. Password requirements unclear (step 4)
  2. Form validation error not visible (step 6)

Replay a Journey for Free

Record a journey once with --trace, then replay it with no model calls. Replay is deterministic; a page that has changed since the recording stops the replay at the step that diverged.

cbrowser cognitive-journey --persona first-timer --start "https://your-site.com" --goal "sign up" --trace
cbrowser cognitive-journey --persona first-timer --start "https://your-site.com" --goal "sign up" \
  --replay-trace ~/.cbrowser/traces/<journeyId>.jsonl

Accessibility Empathy Testing

Simulate how people with disabilities experience your site. Without --goal it checks the page for barriers and needs no key; with --goal it also runs a short journey per persona.

cbrowser empathy-audit "https://your-site.com" \
  --personas motor-impairment-tremor,dyslexic-user \
  --device iphone-16 \
  --html

Persona names accept the short aliases too (adhd, autism, tremor, dyslexia, ...). --disabilities is the older spelling of --personas.

Constitutional AI Safety

AI agents need boundaries. CBrowser classifies every action by risk:

How red is decided: by the element an action would activate as well as by the selector text. The selector string is classified first, so naming a dangerous action in a selector is refused even when the element reads harmless. The element is then classified however it is addressed: the same "Delete account" button is refused by its label, its id, its test id or a structural path, and an element with only a delegated click listener is judged by its own text. A click on a container is judged at the point it lands (beneath fixed bars and overlays, into open shadow roots, slots and same-origin frames, up to the control, pointer-cursor item or text-bearing item there) and the click is sent to that judged point. A refused click is never retried with a "healed" selector.

Gated: click, smart_click, hover-click and the daemon's click; press_key, type_text and keyboard (Enter, including a typed or pressed newline, or Space on the focused control, followed into shadow roots and same-origin frames, and Enter in a field whose form submits one, judged together with a combobox's aria-activedescendant item); a drag whose press and release share a control; and the natural-language runner's click at X, Y. Caller-supplied page script is red by itself: evaluate_script over MCP, evaluate/eval on the CLI and the daemon's evaluate are refused without force and run nothing, because a script can activate any control without passing the element gate. Names below a control (icon labels, image alts, slotted and open-shadow text, <label for>) and the path a form submits to feed the same keyword classification. force: true on the MCP click, smart_click, press_key, type_text, drag and evaluate_script tools, or --force on the CLI, proceeds and reports the zone.

Not judged, by design: clicking or typing into a text field or a contenteditable editor; choosing a value with a native checkbox, radio or select, or a role=checkbox, radio or switch (the submit that commits them is judged, but a switch that saves as it changes commits immediately); and a link's address (a link to /buy is navigation). Not gated: cognitive journeys and other engines that choose their own clicks.

Known limits: labels inside closed shadow roots or drawn by CSS, controls inside cross-origin frames, icon-only controls with no accessible name, a confirmation button with neutral text ("Confirm", "OK") inside a dialog, a form with no action or an empty formaction, an aria-activedescendant id that only resolves outside the field's own root, a Tab inside typed text that moves focus before a later Enter, one round trip between the check and the click in which a page could swap the element, and keyword false positives such as a "Purchase history" tab, a "Buyer protection" link, a role=option picker such as "Pay with PayPal", or a harmless "Apply" in a form posting to /checkout/discount. Classification uses English keyword patterns; when the element cannot be read, the selector text alone decides.

Browser Control from the CLI

Each cbrowser command is its own process. The persistent profile keeps cookies and the last URL between commands, but not the page itself, so the next command reloads it. To keep one live page across commands (scroll position, open menus, form state), start the daemon:

cbrowser daemon start --device iphone-16 --timeout 45m
cbrowser navigate "https://your-site.com"
cbrowser scroll down 600
cbrowser click "Pricing"
cbrowser screenshot pricing.png
cbrowser network list --filter api --json
cbrowser console --filter error
cbrowser daemon stop

While the daemon runs, navigate, click, fill, hover, type, press, keyboard, screenshot, extract, run, scroll, evaluate, capture, har, network and console use its browser. Commands that would open a second browser on its profile refuse until you stop it.

Global browser flags work on every command that opens a browser: --device <name> (200+ presets; cbrowser device list), --viewport 390x844 or a size name, --browser chromium|firefox|webkit, --geo <preset or lat,lon>, --locale, --timezone, --no-headless and --no-persistent. Flags also take --flag=value.

Natural Language Testing

# Test: Search
go to https://your-site.com
type "lamps" in the search box
click the search button
verify page contains "results"
verify url contains "/search"

cbrowser test-suite search-test.txt --html --output report.json

# Auto-repair broken tests
cbrowser repair-tests broken-test.txt --auto-apply --verify

Steps that would submit, delete or buy (for example click "Place Order") are red zone, and the test runner never forces them. Keep those out of unattended suites or test them against a sandbox account.

Visual Testing

# AI visual regression
cbrowser ai-visual capture "https://your-site.com" --name homepage
cbrowser ai-visual test "https://staging.your-site.com" homepage --html

# Cross-browser (Chromium, Firefox, WebKit)
cbrowser cross-browser "https://your-site.com" --html

# Responsive (mobile, tablet, desktop by default)
cbrowser responsive "https://your-site.com" --html

# A/B comparison (staging against production)
cbrowser ab "https://staging.your-site.com" "https://your-site.com" --html

Screen Capture

Record a GIF, animated WebP or video of a page, plus a frame manifest an AI can read:

cbrowser capture start "https://your-site.com" --duration 5s --format gif,webp
cbrowser capture start "https://your-site.com" --until-element-gone ".spinner" --timeout 20s

With the daemon running, capture start records the daemon's page while you drive it with other commands, and capture stop finishes it.

Competitive UX Benchmark

Run identical cognitive journeys on your site and your competitors' (needs an Anthropic API key; one journey per site):

cbrowser competitive-benchmark \
  --sites "https://your-site.com,https://competitor-a.com,https://competitor-b.com" \
  --goal "sign up for free trial" \
  --persona first-timer \
  --html

Geo Proxy

Test from 10 global regions via residential proxies. Today agent-ready-audit is the command that routes through them:

cbrowser agent-ready-audit "https://your-site.com" --geo-region uk

Regions: us-west, us-east, us-central, uk, germany, france, japan, australia, canada, brazil

Geo routing needs your own residential-proxy credentials; the package ships the mechanism and no keys. Set IPROYAL_USERNAME / IPROYAL_PASSWORD, or place a geo-proxy.json in ~/.cbrowser/. Without either, --geo-region exits 1 rather than silently running from your own IP. A geo-proxy.json may define additional regions; they merge over the ten above.

For location without a proxy (the browser's reported geolocation, not its IP), use --geo new-york or --geo 40.71,-74.00 on any command.

MCP Server Integration

CBrowser runs as an MCP server for Claude.ai, Claude Desktop and Claude Code.

Claude.ai (no install)

1. Go to Customize → Connectors and choose "Add custom connector".
2. Paste: https://demo.cbrowser.ai/mcp
3. Optionally download the Claude.ai Skill (.zip), which gives Claude context about the tools and workflows, and upload it under Customize → Skills.

The Claude.ai Skill is a small knowledge file for the web interface. It is not the Claude Code Skill below.

Claude Code Skill

curl -fsSL https://raw.githubusercontent.com/alexandriashai/cbrowser/main/scripts/install-skill.sh | bash
npm install -g cbrowser

See the Skill Installation Guide.

Claude Desktop

{
  "mcpServers": {
    "cbrowser": {
      "url": "https://demo.cbrowser.ai/mcp"
    }
  }
}

Local MCP Server

{
  "mcpServers": {
    "cbrowser": {
      "command": "npx",
      "args": ["cbrowser", "mcp-server"]
    }
  }
}

The local stdio server registers the same 130 tools as the hosted one, plus 7 that keep their state in the local process (empathy_audit_init, empathy_audit_record_barrier, empathy_audit_complete_persona, empathy_audit_summarize, get_emotional_state, list_emotional_personas, trigger_emotional_event). cbrowser mcp-remote runs your own HTTP server for remote clients.

130 MCP Tools

The 18 Enterprise tools are listed by the public package so clients can discover them; they run on CBrowser Enterprise and answer with an upgrade notice elsewhere.

Token Cost and Selective Loading

All 130 tool definitions take a large share of an LLM's context. To expose only what you need, register tool families yourself:

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { CBrowser } from "cbrowser";
import {
  registerNavigationTools,
  registerInteractionTools,
  registerExtractionTools,
} from "cbrowser/mcp-tools";

const browser = new CBrowser({ headless: true });
const server = new McpServer({ name: "my-app", version: "1.0.0" });
const context = { getBrowser: async () => browser };

registerNavigationTools(server, context);
registerInteractionTools(server, context);
registerExtractionTools(server, context);

Families: registerNavigationTools, registerInteractionTools, registerAdvancedInteractionTools, registerExtractionTools, registerBrowserStateTools, registerAssertionTools, registerAnalysisTools, registerAuditTools, registerBugAnalysisTools, registerCaptureTools, registerCognitiveTools, registerPersonaComparisonTools, registerVisualTestingTools, registerTestingTools, registerPerformanceTools, registerRemediationTools, registerLlmsTxtTools, registerSiteKnowledgeTools, registerValuesTools, registerPersonaLifecycleTools, registerPersonaCreationTools, registerSessionTools, registerHealingTools, registerBrowserManagementTools, registerSecurityTools, registerMarketingTools, registerGifTools, registerArtifactTools, registerAskUserTool.

CI/CD Integration

GitHub Actions

name: CBrowser Tests
on: [pull_request]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: alexandriashai/cbrowser@v20.0.0
        with:
          test-file: tests/e2e/search.txt

The action installs cbrowser and the browsers, then runs one of: test-file (a natural-language suite, with a JSON and an HTML report), url (writes a page analysis), or command (any cbrowser command). Outputs land in cbrowser-output/ and are uploaded as an artifact. Pin the action to a release tag.

Docker

There is no published image. Build one from the repository's Dockerfile:

docker build -t cbrowser .
docker run --rm -v "$(pwd)/tests:/work/tests" cbrowser test-suite tests/search.txt --html

API Reference

import { CBrowser } from "cbrowser";

const browser = new CBrowser({
  headless: true,
  persistent: true,
});

await browser.navigate("https://example.com");

const result = await browser.smartClick("Sign In", {
  maxRetries: 3,
  minConfidence: 0.8,
});

const assertion = await browser.assert("page contains 'Welcome'");
if (!assertion.passed) {
  console.error(assertion.message);
}

await browser.close();

Modular Imports

import { runVisualRegression, runCrossBrowserTest } from "cbrowser/visual";
import { runNLTestSuite, detectFlakyTests, repairTest } from "cbrowser/testing";
import { huntBugs, runChaosTest, findElementByIntent } from "cbrowser/analysis";
import { capturePerformanceBaseline, detectPerformanceRegression } from "cbrowser/performance";

Also exported: cbrowser/mcp-tools, cbrowser/mcp-remote, cbrowser/values and cbrowser/stealth.

Configuration

Environment variables override the config file, and command-line flags override both.

Config file: the first of ./.cbrowserrc.json, ./.cbrowserrc, ./cbrowser.config.json, <data dir>/config.json or ~/.cbrowserrc.json. Keys include browser, headless, viewport ({ "width", "height" }), device, locale, timezone, timeout and recordVideo.

cbrowser config set-api-key <key>   # for cognitive journeys
cbrowser doctor                     # check Node, Playwright, the browsers and the key

Enterprise Edition

CBrowser Enterprise adds:

Unlimited tool use, with no credits.

License

MIT License. Free and open source. See LICENSE.

© 2026 Alexandria Eden · cbrowser.ai · alexandria.shai.eden@gmail.com

Links

• Documentation: guides and API reference
• NPM Package
• GitHub
• Issue Tracker

Research

• Research Methodology: how the traits were selected and validated
• Trait Index: every cognitive trait with citations
• Bibliography: academic references
• Persona Index: every cognitive and marketing persona