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Analyze repositories, plan tests, and generate Playwright end-to-end test cases.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Quality MCP" yet — see the docs or source repo.
Please analyze this frontend repository’s structure, key user flows, and current test coverage, then produce an end-to-end test plan prioritized by high, medium, and low severity.
A structured test plan with core scenarios, risk areas, priorities, and recommended coverage.
Based on the login, signup, and password reset flows in the repository, generate runnable Playwright end-to-end test code with necessary test data and assertions.
Runnable Playwright test files covering main flows, assertions, and basic test data setup.
Review the project’s current testing strategy and identify uncovered critical user journeys, regression-prone modules, and the end-to-end scenarios that should be added first.
A test gap analysis report listing high-risk modules, missing scenarios, and prioritized testing recommendations.
Automate QA with generated scenarios, Playwright tests, execution, and GitHub bug reports.
Parse JUnit reports, detect flaky tests, and evaluate quality gates.
MCP tool for QA workflows, testing, defect tracking, and reporting.
Enforce configurable QA strategies so AI-generated tests meet strict standards.
Run local QA checks for APIs, test cases, errors, and SLA evaluation.
Automate web app testing across functionality, performance, accessibility, and SEO.