Matware E2E Runner

JSON-driven E2E test runner with parallel Chrome pool execution, visual verification, and 16 MCP tools.


E2E Runner is a zero-code browser testing framework where tests are plain JSON files — no Playwright scripts, no Cypress boilerplate, no test framework to learn. Define what to click, type, and assert, and the runner executes it in parallel against a shared Chrome pool.

But what makes it truly different is its deep AI integration. With a built-in MCP server, Claude Code can create tests from a conversation, run them, read the results, capture screenshots, and even visually verify that pages look correct — all without leaving the chat. Paste a GitHub issue URL and get a runnable test back. That's the workflow.

This is a test

[
  {
    "name": "login-flow",
    "actions": [
      { "type": "goto", "value": "/login" },
      { "type": "type", "selector": "#email", "value": "[email protected]" },
      { "type": "type", "selector": "#password", "value": "secret" },
      { "type": "click", "text": "Sign In" },
      { "type": "assert_text", "text": "Welcome back" },
      { "type": "screenshot", "value": "logged-in.png" }
    ]
  }
]

No imports. No describe/it. No compilation step. Just a JSON file that describes what a user does — and the runner makes it happen.


Agent Skills

Install E2E testing skills for any coding agent (Claude Code, Cursor, Codex, Copilot, and 40+ more):

npx skills add fastslack/mtw-e2e-runner

This gives your agent the knowledge to create, run, and debug JSON-driven E2E tests — no documentation reading required.

Browse all available skills at skills.sh


Getting Started

Prerequisites: Node.js >= 20, Docker running, your app on a known port.

Quickstart

npm install --save-dev @matware/e2e-runner
npx e2e-runner init          # creates e2e/tests/ with a sample test
npx e2e-runner pool start    # starts Chrome in Docker
npx e2e-runner run --all     # runs the sample test

Or do it all in one command:

curl -fsSL https://raw.githubusercontent.com/fastslack/mtw-e2e-runner/main/scripts/quickstart.sh | bash

After setup, edit e2e.config.js to set your app's port:

export default {
  baseUrl: 'http://host.docker.internal:3000', // change 3000 to your port
};

Why host.docker.internal? Chrome runs inside Docker and can't reach localhost on your machine. This hostname bridges the gap. On Linux (Docker Engine, not Desktop), you may need --add-host=host.docker.internal:host-gateway or use your LAN IP directly.

Add Claude Code (optional)

claude plugin marketplace add fastslack/mtw-e2e-runner
claude plugin install e2e-runner@matware

This gives Claude 13 MCP tools, slash commands, and specialized agents. Just say "Run all E2E tests" or "Create a test for the login flow".

Add OpenCode (optional)

cp node_modules/@matware/e2e-runner/opencode.json ./
mkdir -p .opencode && cp -r node_modules/@matware/e2e-runner/.opencode/* .opencode/

See OPENCODE.md for details.

What's next?


What you get

🧪 Zero-code tests — JSON files that anyone on your team can read and write. No JavaScript, no compilation, no framework lock-in.

🤖 AI-powered testing — Claude Code creates, executes, and debugs tests natively through 13 MCP tools. Ask it to "test the checkout flow" and it builds the JSON, runs it, and reports back.

🐛 Issue-to-Test pipeline — Paste a GitHub or GitLab issue URL. The runner fetches it, generates E2E tests, runs them, and tells you: bug confirmed or not reproducible.

👁️ Visual verification — Describe what the page should look like in plain English. The AI captures a screenshot and judges pass/fail against your description. No pixel-diffing setup needed.

🧠 Learning system — Tracks test stability across runs. Detects flaky tests, unstable selectors, slow APIs, and error patterns — then surfaces actionable insights.

Parallel execution — Run N tests simultaneously against a shared Chrome pool (browserless/chrome). Serial mode available for tests that share state.

📊 Real-time dashboard — Live execution view, run history with pass-rate charts, screenshot gallery with hash-based search, expandable network request logs.

🔁 Smart retries — Test-level and action-level retries with configurable delays. Flaky tests are detected and flagged automatically.

📦 Reusable modules — Extract common flows (login, navigation, setup) into parameterized modules and reference them with $use.

🏗️ CI-ready — JUnit XML output, exit code 1 on failure, auto-captured error screenshots. Drop-in GitHub Actions example included.

🌐 Multi-project — One dashboard aggregates test results from all your projects. One Chrome pool serves them all.

🐳 Portable — Chrome runs in Docker, tests are JSON files in your repo. Works on any machine with Node.js and Docker.


Test Format

Each .json file in e2e/tests/ contains an array of tests. Each test has a name and sequential actions:

[
  {
    "name": "homepage-loads",
    "actions": [
      { "type": "goto", "value": "/" },
      { "type": "assert_visible", "selector": "body" },
      { "type": "assert_url", "value": "/" },
      { "type": "screenshot", "value": "homepage.png" }
    ]
  }
]

Suite files can have numeric prefixes for ordering (01-auth.json, 02-dashboard.json). The --suite flag matches with or without the prefix, so --suite auth finds 01-auth.json.

Available Actions

ActionFieldsDescription
gotovalueNavigate to URL (relative to baseUrl or absolute)
clickselector or textClick by CSS selector or visible text content
type / fillselector, valueClear field and type text
waitselector, text, or value (ms)Wait for element, text, or fixed delay
screenshotvalue (filename)Capture a screenshot
selectselector, valueSelect a dropdown option
clearselectorClear an input field
pressvaluePress a keyboard key (Enter, Tab, etc.)
scrollselector or value (px)Scroll to element or by pixel amount
hoverselectorHover over an element
evaluatevalueExecute JavaScript in the browser context
navigatevalueBrowser navigation (back, forward, reload)
clear_cookiesClear all cookies for the current page

Assertions

ActionFieldsDescription
assert_texttextAssert text exists anywhere on the page (substring)
assert_element_textselector, text, optional value: "exact"Assert element's text contains (or exactly matches) the expected text
assert_urlvalueAssert current URL path or full URL. Paths (/dashboard) compare against pathname only
assert_visibleselectorAssert element exists and is visible
assert_not_visibleselectorAssert element is hidden or doesn't exist
assert_attributeselector, valueCheck attribute: "type=email" for value, "disabled" for existence
assert_classselector, valueAssert element has a CSS class
assert_input_valueselector, valueAssert input/select/textarea .value contains text
assert_matchesselector, value (regex)Assert element text matches a regex pattern
assert_countselector, valueAssert element count: exact ("5"), or operators (">3", ">=1", "<10")
assert_no_network_errorsFail if any network requests failed (e.g. ERR_CONNECTION_REFUSED)
get_textselectorExtract element text (non-assertion, never fails). Result: { value: "..." }

Click by Text

When click uses text instead of selector, it searches across common interactive and content elements:

button, a, [role="button"], [role="tab"], [role="menuitem"], [role="option"],
[role="listitem"], div[class*="cursor"], span, li, td, th, label, p, h1-h6
{ "type": "click", "text": "Sign In" }

Framework-Aware Actions

These actions handle common patterns in React/MUI apps that normally require verbose evaluate boilerplate:

ActionFieldsDescription
type_reactselector, valueType into React controlled inputs using the native value setter. Dispatches input + change events so React state updates correctly.
click_regextext (regex), optional selector, optional value: "last"Click element whose textContent matches a regex (case-insensitive). Default: first match. Use value: "last" for last match.
click_optiontextClick a [role="option"] element by text — common in autocomplete/select dropdowns.
focus_autocompletetext (label text)Focus an autocomplete input by its label text. Supports MUI and generic [role="combobox"].
click_chiptextClick a chip/tag element by text. Searches [class*="Chip"], [class*="chip"], [data-chip].
// Before: 5 lines of evaluate boilerplate
{ "type": "evaluate", "value": "const input = document.querySelector('#search'); const nativeSet = Object.getOwnPropertyDescriptor(window.HTMLInputElement.prototype, 'value').set; nativeSet.call(input, 'term'); input.dispatchEvent(new Event('input', {bubbles: true})); input.dispatchEvent(new Event('change', {bubbles: true}));" }

// After: 1 action
{ "type": "type_react", "selector": "#search", "value": "term" }

Retries

Test-Level Retry

Retry an entire test on failure. Set globally via config or per-test:

{ "name": "flaky-test", "retries": 3, "timeout": 15000, "actions": [...] }

Tests that pass after retry are flagged as flaky in the report and learning system.

Action-Level Retry

Retry a single action without rerunning the entire test. Useful for timing-sensitive clicks and waits:

{ "type": "click", "selector": "#dynamic-btn", "retries": 3 }
{ "type": "wait", "selector": ".lazy-loaded", "retries": 2 }

Set globally: actionRetries in config, --action-retries <n> CLI, or ACTION_RETRIES env var. Delay between retries: actionRetryDelay (default 500ms).


Serial Tests

Tests that share state (e.g., two tests modifying the same record) can race when running in parallel. Mark them as serial:

{ "name": "create-patient", "serial": true, "actions": [...] }
{ "name": "verify-patient-list", "serial": true, "actions": [...] }

Serial tests run one at a time after all parallel tests finish — preventing interference without slowing down independent tests.


Testing Authenticated Apps

The simplest approach — log in via the UI like a real user:

{
  "hooks": {
    "beforeEach": [
      { "type": "goto", "value": "/login" },
      { "type": "type", "selector": "#email", "value": "[email protected]" },
      { "type": "type", "selector": "#password", "value": "test-password" },
      { "type": "click", "text": "Sign In" },
      { "type": "wait", "selector": ".dashboard" }
    ]
  },
  "tests": [...]
}

For SPAs with JWT, skip the login form by injecting the token directly:

{ "type": "set_storage", "value": "accessToken=eyJhbGciOiJIUzI1NiIs..." }

Or set it globally in config:

// e2e.config.js
export default {
  authToken: 'eyJhbGciOiJIUzI1NiIs...',
  authStorageKey: 'accessToken',
};

Each test runs in a fresh browser context, so auth state is automatically clean between tests.

More strategies: Cookie-based auth, HTTP header injection, OAuth/SSO bypasses, reusable auth modules, and role-based testing — see docs/authentication.md


Reusable Modules

Extract common flows into parameterized modules:

// e2e/modules/login.json
{
  "$module": "login",
  "description": "Log in via the UI login form",
  "params": {
    "email": { "required": true, "description": "User email" },
    "password": { "required": true, "description": "User password" }
  },
  "actions": [
    { "type": "goto", "value": "/login" },
    { "type": "type", "selector": "#email", "value": "{{email}}" },
    { "type": "type", "selector": "#password", "value": "{{password}}" },
    { "type": "click", "text": "Sign In" },
    { "type": "wait", "value": "2000" }
  ]
}

Use in tests:

{
  "name": "dashboard-loads",
  "actions": [
    { "$use": "login", "params": { "email": "[email protected]", "password": "secret" } },
    { "type": "assert_text", "text": "Dashboard" }
  ]
}

Modules support parameter validation (required params fail fast), conditional blocks ({{#param}}...{{/param}}), nested composition, and cycle detection.


Exclude Patterns

Skip exploratory or draft tests from --all runs:

// e2e.config.js
export default {
  exclude: ['explore-*', 'debug-*', 'draft-*'],
};

Individual suite runs (--suite) are not affected by exclude patterns.


Visual Verification

Describe what the page should look like — AI judges pass/fail from screenshots:

{
  "name": "dashboard-loads",
  "expect": "Patient list with at least 3 rows, no error messages, sidebar with navigation links",
  "actions": [
    { "type": "goto", "value": "/dashboard" },
    { "type": "wait", "selector": ".patient-list" }
  ]
}

After test actions complete, the runner auto-captures a verification screenshot. The MCP response includes the screenshot hash — Claude Code retrieves it and visually verifies against your expect description. No API key required.


Issue-to-Test

Turn GitHub and GitLab issues into executable E2E tests. Paste an issue URL and get runnable tests — automatically.

How it works:

  1. Fetch — Pulls issue details (title, body, labels) via gh or glab CLI
  2. Generate — AI creates JSON test actions based on the issue description
  3. Run — Optionally executes the tests immediately to verify if a bug is reproducible
# Fetch and display
e2e-runner issue https://github.com/owner/repo/issues/42

# Generate a test file via Claude API
e2e-runner issue https://github.com/owner/repo/issues/42 --generate

# Generate + run + report
e2e-runner issue https://github.com/owner/repo/issues/42 --verify
# -> "BUG CONFIRMED" or "NOT REPRODUCIBLE"

In Claude Code, just ask:

"Fetch issue #42 and create E2E tests for it"

Bug verification logic: Generated tests assert the correct behavior. Test failure = bug confirmed. All tests pass = not reproducible.

Auth: GitHub requires gh CLI, GitLab requires glab CLI. Self-hosted GitLab is supported.


Learning System

The runner learns from every test run — building knowledge about your test suite over time.

Query insights via the e2e_learnings MCP tool:

QueryReturns
summaryFull health overview: pass rate, flaky tests, unstable selectors, API issues
flakyTests that pass only after retries
selectorsCSS selectors with high failure rates
pagesPages with console errors, network failures, load time issues
apisAPI endpoints with error rates and latency (auto-normalized: UUIDs, hashes, IDs)
errorsMost frequent error patterns, categorized
trendsPass rate over time (auto-switches to hourly when all data is from one day)
test:<name>Drill-down history for a specific test
page:<path>Drill-down history for a specific page
selector:<value>Drill-down history for a specific selector

Storage & export:

  • SQLite (~/.e2e-runner/dashboard.db) — default, zero setup
  • Neo4j knowledge graph — optional, for relationship-based analysis. Manage via e2e_neo4j MCP tool or docker compose
  • Markdown report (e2e/learnings.md) — auto-generated after each run

Test narration: Each test run generates a human-readable narrative of what happened step by step, visible in the CLI output and the dashboard.


Web Dashboard

Real-time UI for running tests, viewing results, screenshots, and network logs.

e2e-runner dashboard                  # Start on default port 8484
e2e-runner dashboard --port 9090      # Custom port

Live Execution

Monitor tests in real-time with step-by-step progress, durations, and active worker count.

Test Suites

Browse all test suites across multiple projects. Run a single suite or all tests with one click.

Run History

Track pass rate trends with the built-in chart. Click any row to expand full detail with per-test results, screenshot hashes, and errors.

Run Detail

Expanded view with PASS/FAIL badges, screenshot thumbnails with copyable hashes (ss:77c28b5a), formatted console errors, and network request logs.

Screenshot Gallery

Browse all captured screenshots with hash search. Includes action screenshots, error screenshots, and verification captures.

Pool Status

Monitor Chrome pool health: available slots, running sessions, memory pressure.


Screenshot Capture

Capture screenshots of any URL on demand — no test suite required:

e2e-runner capture https://example.com
e2e-runner capture https://example.com --full-page --selector ".loaded" --delay 2000

Via MCP, the e2e_capture tool supports authToken and authStorageKey for authenticated pages — it injects the token into localStorage before navigating.

Every screenshot gets a deterministic hash (ss:a3f2b1c9). Use e2e_screenshot to retrieve any screenshot by hash — it returns the image with metadata (test name, step, type).


AI Integration

Claude Code

claude plugin marketplace add fastslack/mtw-e2e-runner
claude plugin install e2e-runner@matware

This gives Claude 13 MCP tools, a workflow skill, 3 slash commands (/e2e-runner:run, /e2e-runner:create-test, /e2e-runner:verify-issue), and 3 specialized agents (test-analyzer, test-creator, test-improver).

MCP-only install (tools only, no skill/commands/agents):

claude mcp add --transport stdio --scope user e2e-runner \
  -- npx -y -p @matware/e2e-runner e2e-runner-mcp

OpenCode

cp node_modules/@matware/e2e-runner/opencode.json ./
mkdir -p .opencode && cp -r node_modules/@matware/e2e-runner/.opencode/* .opencode/

See OPENCODE.md for details.

MCP Tools

ToolDescription
e2e_runRun tests (all, by suite, or by file)
e2e_listList available test suites
e2e_create_testCreate a new test JSON file
e2e_create_moduleCreate a reusable module
e2e_pool_statusCheck Chrome pool health
e2e_screenshotRetrieve a screenshot by hash
e2e_captureCapture screenshot of any URL
e2e_dashboard_startStart web dashboard
e2e_dashboard_stopStop web dashboard
e2e_issueFetch issue and generate tests
e2e_network_logsQuery network logs for a run
e2e_learningsQuery stability insights
e2e_neo4jManage Neo4j knowledge graph

Pool start/stop are CLI-only — not exposed via MCP.


Network Error Handling

Explicit Assertion

Place assert_no_network_errors after critical page loads:

{ "type": "goto", "value": "/dashboard" },
{ "type": "wait", "selector": ".loaded" },
{ "type": "assert_no_network_errors" }

Global Flag

Set failOnNetworkError: true to automatically fail any test with network errors:

e2e-runner run --all --fail-on-network-error

When disabled (default), the runner still collects and reports network errors — the MCP response includes a warning when tests pass but have network errors.

Full Network Logging

All XHR/fetch requests are captured with: URL, method, status, duration, request/response headers, and response body (truncated at 50KB). Viewable in the dashboard with expandable request detail rows.

MCP drill-down flow:

1. e2e_run          → compact networkSummary + runDbId
2. e2e_network_logs(runDbId)                     → all requests (url, method, status, duration)
3. e2e_network_logs(runDbId, errorsOnly: true)   → only failed requests
4. e2e_network_logs(runDbId, includeHeaders: true) → with headers
5. e2e_network_logs(runDbId, includeBodies: true)  → full request/response bodies

The e2e_run response stays compact (~5KB) regardless of how many requests were captured. Use e2e_network_logs with the returned runDbId to drill into details on demand.


Hooks

Run actions at lifecycle points. Define globally in config or per-suite:

{
  "hooks": {
    "beforeAll": [{ "type": "goto", "value": "/setup" }],
    "beforeEach": [{ "type": "goto", "value": "/" }],
    "afterEach": [{ "type": "screenshot", "value": "after.png" }],
    "afterAll": []
  },
  "tests": [...]
}

Important: beforeAll runs on a separate browser page that is closed before tests start. Use beforeEach for state that tests need (cookies, localStorage, auth tokens).


CLI

# Run tests
e2e-runner run --all                  # All suites
e2e-runner run --suite auth           # Single suite
e2e-runner run --tests path/to.json   # Specific file
e2e-runner run --inline '<json>'      # Inline JSON

# Pool management (CLI only, not MCP)
e2e-runner pool start                 # Start Chrome container
e2e-runner pool stop                  # Stop Chrome container
e2e-runner pool status                # Check pool health

# Issue-to-test
e2e-runner issue <url>                # Fetch issue
e2e-runner issue <url> --generate     # Generate test via AI
e2e-runner issue <url> --verify       # Generate + run + report

# Dashboard
e2e-runner dashboard                  # Start web dashboard

# Other
e2e-runner list                       # List available suites
e2e-runner capture <url>              # On-demand screenshot
e2e-runner init                       # Scaffold project

CLI Options

FlagDefaultDescription
--base-url <url>http://host.docker.internal:3000Application base URL
--pool-url <ws>ws://localhost:3333Chrome pool WebSocket URL
--concurrency <n>3Parallel test workers
--retries <n>0Retry failed tests N times
--action-retries <n>0Retry failed actions N times
--test-timeout <ms>60000Per-test timeout
--timeout <ms>10000Default action timeout
--output <format>jsonReport: json, junit, both
--env <name>defaultEnvironment profile
--fail-on-network-errorfalseFail tests with network errors
--project-name <name>dir nameProject display name

Configuration

Create e2e.config.js in your project root:

export default {
  baseUrl: 'http://host.docker.internal:3000',
  concurrency: 4,
  retries: 2,
  actionRetries: 1,
  testTimeout: 30000,
  outputFormat: 'both',
  failOnNetworkError: true,
  exclude: ['explore-*', 'debug-*'],

  hooks: {
    beforeEach: [{ type: 'goto', value: '/' }],
  },

  environments: {
    staging: { baseUrl: 'https://staging.example.com' },
    production: { baseUrl: 'https://example.com', concurrency: 5 },
  },
};

Config Priority (highest wins)

  1. CLI flags
  2. Environment variables
  3. Config file (e2e.config.js or e2e.config.json)
  4. Defaults

When --env <name> is set, the matching profile overrides everything.


CI/CD

JUnit XML

e2e-runner run --all --output junit

GitHub Actions

jobs:
  e2e:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 20
      - run: npm ci
      - run: npx e2e-runner pool start
      - run: npx e2e-runner run --all --output junit
      - uses: mikepenz/action-junit-report@v4
        if: always()
        with:
          report_paths: e2e/screenshots/junit.xml

Programmatic API

import { createRunner } from '@matware/e2e-runner';

const runner = await createRunner({ baseUrl: 'http://localhost:3000' });

const report = await runner.runAll();
const report = await runner.runSuite('auth');
const report = await runner.runFile('e2e/tests/login.json');
const report = await runner.runTests([
  { name: 'quick-check', actions: [{ type: 'goto', value: '/' }] },
]);

Requirements

  • Node.js >= 20
  • Docker (for the Chrome pool)

License

Copyright 2025 Matias Aguirre (fastslack)

Licensed under the Apache License, Version 2.0. See LICENSE for details.

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