Playwright Wizard MCP Server

Playwright Wizard MCP Server

The Playwright Wizard Model Context Protocol (MCP) server is designed to eliminate the friction that often accompanies end‑to‑end test development with Playwright. Rather than starting from a generic template or hunting through scattered documentation, the wizard guides developers through every step of creating a robust test suite. It applies industry best practices—such as selector hygiene, fixture reuse, and parallel execution strategies—directly within the AI assistant’s workflow, ensuring that even newcomers produce maintainable, production‑ready code.

At its core, the server offers a step‑by‑step wizard that prompts users for application context, target features, and desired test coverage. Each prompt is intelligently crafted to surface the most relevant information, allowing the AI client to generate code that aligns with the project’s architecture and coding standards. The wizard handles everything from initial analysis to final implementation, producing a complete Playwright test suite that includes page objects, fixtures, and configuration files. Because the prompts are modular, developers can skip or repeat stages as needed, giving them fine‑grained control over the test creation process.

Key capabilities include:

• Comprehensive prompts that cover analysis, planning, setup, and implementation.
• Built‑in best practices for selectors, fixture design, and parallel test execution.
• Optional enhancements such as accessibility checks and API testing support.
• Reference documentation that explains advanced patterns, enabling developers to extend or customize the generated code.
• MCP Registry integration for effortless discovery and installation through any MCP‑compatible client.

Real‑world scenarios where Playwright Wizard shines include onboarding new QA engineers, rapidly prototyping test coverage for a new feature release, or auditing an existing codebase to retrofit best‑practice patterns. In all cases, the server reduces boilerplate, mitigates human error, and accelerates time to production. Because it operates through the MCP interface, any AI assistant that supports MCP—GitHub Copilot Chat, Claude Desktop, or VS Code extensions like Cline—can invoke the wizard as a tool, seamlessly blending AI‑driven guidance with familiar development environments.

The unique advantage of Playwright Wizard is its intelligent, context‑aware prompting combined with a fully automated code generation pipeline. Developers receive not just raw snippets but a cohesive, well‑structured test suite that adheres to modern Playwright conventions. This elevates the quality of automated tests while freeing developers to focus on higher‑level design and business logic.