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Automate web app testing across functionality, performance, accessibility, and SEO.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "QA Testing MCP Server" yet — see the docs or source repo.
Run a full test on this web application covering core user flows, page-load performance, accessibility issues, and SEO basics. Return a prioritized issue list with fixes.
A severity-ranked test report with discovered issues, affected areas, and recommended fixes.
Automatically test the site's login, add-to-cart, and checkout flows. Check that page elements work correctly and key steps do not fail, then summarize failures and likely causes.
A regression test result showing passed and failed steps, screenshot clues, and debugging directions.
Audit this landing page for above-the-fold load speed, mobile usability, image and heading tags, link structure, and basic SEO setup, then provide optimization recommendations.
A diagnostic summary for product and marketing teams with UX issues, SEO risks, and optimization priorities.
Run browser-based web app QA tests with Playwright and generate reports.
Automate QA with generated scenarios, Playwright tests, execution, and GitHub bug reports.
Safely query and manage qTest data for test automation and collaboration.
Test API compatibility for AI agents with scores, grades, and recommendations.
Use natural language to automate browsers, run QA, and generate Playwright tests.
Autonomously evaluate web apps to uncover functionality, performance, and usability issues.