Playwright MCP
Learn what Playwright MCP is and how to configure it for Claude Code or Cursor.
QA knowledge base
Playwright MCP connects an AI coding assistant to browser automation capabilities so it can inspect pages, interact with UI flows, and draft Playwright tests with real application context.
Use clear requirements, acceptance criteria, validation rules, user roles, constraints, and examples of valid or invalid data.
| ID | Title | Priority | Type | Expected Result |
|---|---|---|---|---|
| MCP-001 | Open the application URL and inspect the page | High | Setup | The assistant can navigate, observe UI state, and identify key controls. |
| MCP-002 | Draft Playwright tests from live UI behavior | High | Automation | Generated tests use real labels, roles, and assertions from the page. |
| MCP-003 | Review generated tests before commit | Medium | Review | Selectors, auth setup, fixtures, and CI assumptions are verified by the team. |
No. QA teams, developers, and product engineers can use it to inspect UI behavior, debug flows, and draft automation from real pages.
No. It accelerates browser automation work, but teams should still review risk areas, accessibility, business rules, and data setup.
Check the server command, package runner, config file location, client restart, browser permissions, allowed origins, and whether the target URL can be opened from the same machine.
Use it when you are validating a custom MCP server's tools, schemas, resources, auth, malformed input handling, and agent behavior rather than browser automation.
Yes. The generator can structure cases as a CSV-ready table with title, preconditions, steps, expected result, priority, type, and test data fields.
No. It accelerates first-draft coverage, but QA teams should review edge cases, business rules, and product-specific risks before importing cases.
A clear user story, acceptance criteria, business rules, constraints, and examples of valid or invalid test data produce the strongest output.
Playwright MCP is a Model Context Protocol server that exposes browser automation actions to an AI assistant. For QA work, it is useful because the assistant can reason from the live UI instead of only from static requirements.
Start with a URL, a clear user flow, and acceptance criteria. Ask the assistant to inspect the page, identify stable locators, perform the workflow, and draft Playwright tests with assertions for visible state, network outcomes, and error handling.
Add a Playwright MCP server command to your Claude Code MCP configuration, then restart the client. Use the config generator on this site to create a starter JSON snippet for Claude Code, Cursor, or a generic MCP client.
Most setup issues come from a wrong command, missing package runner, blocked origins, browser profile permissions, headless/headed assumptions, or a client config that was edited but not reloaded.
Related tool
If you are building a custom MCP server, use the Test MCP Server checklist to validate schemas, tool calls, auth, malformed inputs, prompt injection, and agent understanding.
Read more
Generate manual QA test cases, software test cases, requirements-based cases, and user-story test cases with examples and templates.
QA templates - 6 min readUse the acceptance criteria generator to turn feature notes into testable rules, QA checks, and Given/When/Then examples before sprint handoff.
Acceptance criteria - 5 min readSee how a password reset story becomes reviewable QA cases with priorities, types, and expected results.
Guide - 6 min read
Turn acceptance criteria into Given / When / Then scenarios for product and engineering review.
BDD - 5 min read
Convert Jira stories into manual test cases, Gherkin, CSV, Xray, and Zephyr-ready QA rows for sprint review and import.
Jira QA - 5 min readPaste a Jira story, bug report, or acceptance criteria and export Classic cases, Gherkin, CSV, Excel, Xray, or Zephyr-ready fields.
Jira workflow - 5 min read
Use the review console to inspect steps, preconditions, expected results, and suggested test data.
QA workflow - 7 min readDraft Playwright MCP test steps, automation cases, and Claude Code prompts from a URL and acceptance criteria.
Playwright MCP - 6 min readGenerate smoke checks, tool-call cases, malicious input probes, permission checks, and Claude Code or Cursor prompts for MCP server testing.
MCP testing - 7 min readUse a replay checklist, immutable audit log fields, trace template, and comparison table to reproduce failed AI agent interactions.
Agent QA - 6 min readFormat generated QA cases for CSV review, Excel handoff, and Jira-connected imports.
Export workflow - 4 min read