MCP Browser Tool: Connect Your QA Agent, Read-Only First
Add an MCP browser tool to your QA agent. Connect to Playwright MCP, allow only reading and navigation, limit its environment and log each tool call.
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Free tutorials, solved practice problems and interview prep for QA and automation engineers: Python, Playwright, Selenium, SQL, Git and more.
Add an MCP browser tool to your QA agent. Connect to Playwright MCP, allow only reading and navigation, limit its environment and log each tool call.
Create an AI test report that shows what ran, what failed, what was changed and who approved it, with secrets removed and stopped runs clearly labelled.
Build self-healing tests the safe way. Propose the smallest patch for real test defects, never change expected results and require approval before applying.
Build AI test failure analysis that classifies Playwright failures, must quote the real error as evidence and is downgraded when its claims are unsupported.
Learn how to connect an LLM to your QA agent safely. Keep vendor code in one adapter, separate instructions from page data and validate every response.
Build an AI agent orchestrator that runs your QA workflow in order, stops safely and saves its state, then watch it run real Playwright tests with a mock…
Build an AI test executor that runs only fixed commands with a timeout and a restricted environment, then reads Playwright's JSON report into typed results.
Learn to validate AI-generated code with paths, syntax, imports, banned patterns and locator evidence, then require human approval before anything runs.
Build an AI test generator agent that turns approved scenarios and real page evidence into Playwright tests, following your conventions and nothing more.
Build an AI test planner agent that turns requirements and page evidence into validated scenarios, with a code check that every requirement is covered.
Build an AI explorer agent that opens an approved page, reads its accessibility snapshot and reports only real elements, so later tests rest on evidence.
Build an AI requirement parser for your QA agent. Convert user stories into validated data, keep missing information visible and test it with a mock model.
Take free timed mock tests with answers and explanations.