Playwright Wizard MCP: Server for Creating Professional E2E Test Suites

Playwright Wizard MCP

Playwright Wizard MCP is an intelligent model context protocol server that helps developers create professional Playwright end - to - end test suites through step - by - step guidance, with built - in best practices and a structured workflow.

Developer tools Education and learning tools #Testing Tool #Automated Testing #MCP Service #Development Wizard .TypeScript

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update time : 2025-12-29

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What is Playwright Wizard MCP Server?

Playwright Wizard MCP is an intelligent assistant server specifically designed for the Playwright testing framework. It guides users through the entire process of creating a complete test suite from scratch via an AI - driven conversational interface. Different from the traditional way that requires writing a large amount of code, this tool helps you analyze the application, formulate a test plan, set up the infrastructure, generate page object models, and finally implement complete test cases through Q&A and guidance.

How to use Playwright Wizard MCP?

Using Playwright Wizard is very simple: First, configure the server in an MCP - supported AI client (such as GitHub Copilot, Claude Desktop), and then interact with the AI assistant through natural language conversations. You just need to tell the assistant what you want to test, and it will call the corresponding tools to guide you through each step. There is no need to have an in - depth understanding of the technical details of Playwright throughout the process, and the tool will automatically generate code and configurations following best practices.

Applicable scenarios

This tool is particularly suitable for the following scenarios: 1. Beginners who are just starting to learn Playwright testing 2. Developers who need to quickly add tests to an existing project 3. Teams that hope to follow best practices but are not sure how to start 4. Projects that need to ensure the quality and maintainability of test code 5. Developers who want to integrate accessibility testing and API testing but don't know where to start

Main Features

Step - by - step wizard workflow

Provides a complete 5 - step workflow: Analyze the application → Generate a test plan → Set up the infrastructure → Generate page objects → Implement the test suite. Each step has clear guidance and best practices.

Intelligent application analysis

Automatically detects your technology stack (React, Vue, Angular, etc.), browses key pages, evaluates DOM quality and accessibility, and provides you with customized test suggestions.

Built - in best practices

All generated code follows Playwright best practices, including using role selectors, appropriate waiting strategies, parallel execution optimization, and error handling.

Accessibility testing integration

Optionally integrates the axe - core tool to automatically add accessibility tests compliant with WCAG 2.1 AA standards, ensuring that your application is accessible to everyone.

CI/CD ready configuration

Generates a GitHub Actions workflow configuration with one click, allowing your tests to run automatically in the CI/CD pipeline, supporting parallel tests and test reports.

API testing support

In addition to UI testing, REST, GraphQL, or tRPC API tests can also be added to achieve comprehensive end - to - end test coverage.

Advantages

Lower the learning curve: You can start writing professional tests without in - depth knowledge of all details of Playwright.

Save time: Automates the setup of test infrastructure and the implementation of best practices.

Ensure code quality: All generated code follows industry best practices.

Flexible expansion: Provides optional enhanced features such as accessibility testing, API testing, etc.

Integrate with existing tools: Supports mainstream AI assistants such as GitHub Copilot, Claude Desktop.

Limitations

Dependent on MCP - compatible clients: You need to configure an AI tool that supports MCP to use it.

Customization limitations: For extremely special test requirements, you may need to manually adjust the generated code.

Learning process: Although the use is simplified, you still need to understand basic testing concepts.

Network dependency: Some functions may require an Internet connection to obtain the latest best practices.

How to Use

Installation and Configuration

First, make sure you have Node.js 18 or a higher version, and then configure the Playwright Wizard server in your favorite MCP client.

Start the AI Assistant

Restart your AI client (such as VS Code or Claude Desktop) and open a new chat window.

Start the Conversation

Use natural language to tell the AI assistant what you want to test. For example: "Help me set up Playwright tests for my React application."

Follow the Guidance

The AI assistant will call the corresponding tools and guide you through each step. You just need to provide the necessary information or confirm the operations according to the prompts.

Run the Tests

After completing all the steps, you will get a complete test suite. Run the tests to ensure that everything works properly.

Usage Examples

Create a complete test suite for a new React application

You have just completed the development of a React e - commerce website and now need to add end - to - end tests to ensure that the core functions work properly.

Add accessibility testing to an existing project

Your application already has some Playwright tests, but you need to add accessibility testing to meet WCAG compliance requirements.

Set up CI/CD automated testing

You hope to automatically run tests and generate test reports every time you push code.

Frequently Asked Questions

Do I need to be a Playwright expert to use this tool?

Which front - end frameworks does this tool support?

Can I modify the generated code?

Is this tool free?

What should I do if I encounter problems?

Will this tool affect my existing code?

Related Resources

Official GitHub Repository

Source code, issue tracking, and contribution guidelines

MCP Registry

View and install in the official MCP registry

Playwright Official Documentation

Learn the Playwright testing framework in depth

MCP Protocol Specification

Understand how the Model Context Protocol works

Example Project

View a complete example project using Playwright Wizard

🚀 Playwright Wizard MCP Server

An intelligent Model Context Protocol (MCP) server that guides you through creating professional Playwright test suites with best practices built in.

🚀 Quick Start

Playwright Wizard MCP offers a structured way to build comprehensive E2E test suites. Instead of starting from scratch, it guides you through industry best - practices with intelligent prompts.

✨ Features

🧙‍♂️ Step - by - step wizard workflow: Create comprehensive test suites effortlessly.
📚 Comprehensive prompts: Cover analysis, planning, setup, and implementation.
🎯 Best practices: For selectors, fixtures, and parallel execution.
🔧 Optional enhancements: For accessibility and API testing.
📖 Reference documentation: For advanced patterns.
🌐 MCP Registry integration: For easy discovery and installation.

📦 Installation

Quick Start (Recommended)

No installation required! Use npx to run the server on - demand:

{
  "mcpServers": {
    "playwright-wizard": {
      "command": "npx",
      "args": ["-y", "playwright-wizard-mcp"]
    }
  }
}

This approach automatically uses the latest version without managing local installations.

Global Installation

For faster startup and offline use:

npm install -g playwright-wizard-mcp

Then configure without npx:

{
  "mcpServers": {
    "playwright-wizard": {
      "command": "playwright-wizard-mcp"
    }
  }
}

From MCP Registry

It is also available in the official MCP Registry for easy discovery.

📚 Documentation

Prerequisites

Node.js 18 or higher
An MCP - compatible client:
- GitHub Copilot in VS Code (with MCP support)
- Claude Desktop
- Cline (VS Code extension)
- Any other MCP - compatible AI client

Configuration

GitHub Copilot (VS Code)

Open your MCP config file:
- macOS: ~/Library/Application Support/Code/User/mcp.json
- Windows: %APPDATA%\Code\User\mcp.json
Add the server configuration:

{
  "servers": {
    "playwright-wizard": {
      "command": "npx",
      "args": ["-y", "playwright-wizard-mcp@latest"],
      "type": "stdio"
    }
  }
}

Restart VS Code or reload window (Cmd/Ctrl + Shift + P → "Developer: Reload Window")
Open GitHub Copilot Chat and verify tools are available

Claude Desktop

Open your config file:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
Add the server configuration:

{
  "mcpServers": {
    "playwright-wizard": {
      "command": "npx",
      "args": ["-y", "playwright-wizard-mcp"]
    }
  }
}

Restart Claude Desktop
Verify installation by seeing the 🔨 tool icon when you open a new chat

Cline (VS Code)

Open VS Code
Go to Cline settings (Cmd/Ctrl + Shift + P → "Cline: Open MCP Settings")
Add the server configuration:

{
  "mcpServers": {
    "playwright-wizard": {
      "command": "npx",
      "args": ["-y", "playwright-wizard-mcp"]
    }
  }
}

Restart VS Code
Look for Playwright Wizard tools in Cline's available tools list

Available Tools

Playwright Wizard exposes 15 tools organized into three categories: core workflow, optional enhancements, and reference documentation.

Core Workflow (Complete in Order)

These 5 tools guide you through creating a complete, production - ready test suite:

Tool	Purpose	What It Creates	When to Use
analyze - app	Analyzes your application structure and tech stack	`project - config.md`, `pages.md`, `selector - strategy.md`	Start here - First step for any new test suite
generate - test - plan	Creates comprehensive test scenarios and acceptance criteria	`test - plan.md` with suites, flows, and edge cases	After analyzing the app
setup - infrastructure	Sets up Playwright config, fixtures, and folder structure	`playwright.config.ts`, fixtures, test helpers	After test plan is ready
generate - page - objects	Generates type - safe page object models with optimal selectors	Page object files in `tests/pages/`	After infrastructure is set up
implement - test - suite	Writes actual tests with assertions and error handling	Complete test files in `tests/`	Final step - implement all planned tests

Optional Enhancements

Add these capabilities after completing the core workflow:

Tool	Purpose	What It Adds	When to Use
setup - ci - cd	Adds GitHub Actions for automated testing	`.github/workflows/playwright.yml`	When you need CI/CD integration
add - accessibility	Integrates axe - core for WCAG 2.1 AA compliance	Accessibility test helpers and examples	For accessibility requirements
add - api - testing	Adds REST/GraphQL/tRPC API testing	API test utilities and examples	When testing backend APIs
advanced - optimization	Deep performance optimization and auth state reuse	Advanced patterns and configs	For complex apps with performance needs

Reference Documentation

Access these anytime for additional context and patterns:

Tool	Content	Use When
reference - core - principles	Core testing principles and quality standards	You need guidance on best practices
reference - workflow - overview	Complete workflow explanation and prompt relationships	You want to understand the big picture
reference - mcp - setup	MCP server setup and usage patterns	Having installation or configuration issues
reference - selector - strategies	Selector best practices and HTML quality scoring	Need help choosing the right selectors
reference - fixture - patterns	Playwright fixture patterns for parallel execution	Working with fixtures or state management
reference - data - storage - patterns	Test data storage patterns (ORM, JSON, MSW)	Need guidance on test data management

How to Use the Tools

Simply ask your AI assistant to use them:

"Use the analyze - app tool to help me understand my application"
"Run the generate - test - plan tool to create test scenarios"
"Use setup - infrastructure to configure Playwright"

The AI will call the appropriate tool, receive detailed instructions, and execute them automatically. You'll see the results (files created, analysis completed) without seeing the internal instructions.

Getting Started

First - Time Setup (5 minutes)

Install and configure the MCP server (see Configuration above)
Restart your AI client (Claude Desktop or VS Code)
Verify installation: Open a new chat and look for the 🔨 tool icon

Creating Your First Test Suite (30 - 60 minutes)

Here's what a typical workflow looks like:

Step 1: Analyze Your Application

You: "Help me analyze my React app for Playwright testing"

AI: *Calls analyze - app tool*
    - Detects React, TypeScript, Vite from package.json
    - Browses key pages (/, /login, /dashboard)
    - Evaluates DOM quality and accessibility
    - Creates .playwright - wizard - mcp/ folder with analysis files

AI: "✅ Analysis complete! Your app uses React + TypeScript with Vite.
     I found 5 key pages. HTML quality is good (score: 8/10).
     Created project - config.md, pages.md, and selector - strategy.md."

Step 2: Generate Test Plan

You: "Create a test plan based on the analysis"

AI: *Calls generate - test - plan tool*
    - Creates comprehensive test scenarios
    - Defines user flows and edge cases
    - Specifies acceptance criteria
    - Adds test data requirements

AI: "✅ Test plan created! I've defined 4 test suites:
     - Authentication (5 scenarios)
     - Dashboard (7 scenarios)
     - User Profile (4 scenarios)
     - Settings (3 scenarios)
     See test - plan.md for details."

Step 3: Set Up Infrastructure

You: "Set up the Playwright infrastructure"

AI: *Calls setup - infrastructure tool*
    - Creates playwright.config.ts with optimal settings
    - Sets up fixtures for parallel execution
    - Creates folder structure (tests/, pages/, fixtures/)
    - Adds test helpers and utilities

AI: "✅ Infrastructure ready!
     - Created playwright.config.ts (3 browsers, parallel mode)
     - Set up custom fixtures for test isolation
     - Organized folder structure
     Ready for page objects!"

Step 4: Generate Page Objects

You: "Generate page object models"

AI: *Calls generate - page - objects tool*
    - Creates type - safe page objects
    - Uses optimal selectors (getByRole, getByLabel)
    - Adds TypeScript types
    - Implements reusable methods

AI: "✅ Page objects created!
     - tests/pages/LoginPage.ts
     - tests/pages/DashboardPage.ts
     - tests/pages/ProfilePage.ts
     All use accessible selectors and TypeScript."

Step 5: Implement Tests

You: "Implement the test suite"

AI: *Calls implement - test - suite tool*
    - Writes complete test files
    - Adds proper assertions and error handling
    - Verifies parallel execution
    - Optimizes performance

AI: "✅ Test suite complete!
     - Created 19 tests across 4 suites
     - All tests pass ✓
     - Average execution: 12s (parallel)
     - 100% of tests use page objects
     Run: npx playwright test"

What Gets Created

The wizard creates a complete test infrastructure in your project:

your - app/
├── .playwright - wizard - mcp/     # Workflow documentation
│   ├── project - config.md       # Tech stack analysis
│   ├── pages.md                # Page inventory
│   ├── selector - strategy.md    # Selector approach
│   └── test - plan.md            # Test scenarios
├── tests/
│   ├── pages/                  # Page object models
│   │   ├── LoginPage.ts
│   │   ├── DashboardPage.ts
│   │   └── ProfilePage.ts
│   ├── fixtures/               # Custom fixtures
│   │   └── authFixture.ts
│   ├── helpers/                # Test utilities
│   │   └── testHelpers.ts
│   ├── auth.spec.ts           # Test files
│   ├── dashboard.spec.ts
│   └── profile.spec.ts
└── playwright.config.ts        # Playwright configuration

Next Steps

After completing the core workflow, consider:

Add CI/CD: "Set up GitHub Actions for automated testing"
Add accessibility testing: "Add axe - core accessibility testing"
Add API testing: "Help me test my REST API alongside UI tests"
Optimize performance: "Show me advanced optimization patterns"

How It Works

When you ask Copilot to help with Playwright testing:

You: "Help me analyze my app for testing"
Copilot: Calls the analyze - app tool
Tool: Returns detailed instructions to Copilot
Copilot: Executes the instructions (detects stack, browses pages, creates files)
You see: "✅ Analysis complete! Created project - config.md, pages.md..."

You see results, not prompts. The tools provide Copilot with expert - level instructions that it follows automatically.

Example Workflow

# In your app project, ask Copilot:
"Help me set up Playwright testing for this app"

# Copilot will:
# 1. Call analyze - app → detect stack, browse pages
# 2. Call generate - test - plan → create test scenarios
# 3. Call setup - infrastructure → create config and fixtures
# 4. Call generate - page - objects → create page models
# 5. Call implement - test - suite → write actual tests

All workflow documentation files are created in .playwright - wizard - mcp/ folder in your project root:

project - config.md - Detected tech stack
pages.md - Page analysis with DOM quality scores
selector - strategy.md - Selector approach per page
test - plan.md - Test suites with progress tracking

⚠️ Important Note

The .playwright - wizard - mcp/ folder is for workflow tracking only. You may want to add it to .gitignore.

Tools

get - architecture - Get the prompt architecture documentation

Requirements

Node.js >= 18
MCP - compatible client (GitHub Copilot, Claude Desktop, Cline, etc.)

Development

# Clone the repository
git clone https://github.com/oguzc/playwright - wizard - mcp.git
cd playwright - wizard - mcp

# Install dependencies
npm install

# Build
npm run build

# Run in development mode
npm run dev