Build an MCP QA agent that runs Playwright tests, validates APIs, and analyzes failures through a controlled, auditable tool layer with human approval.

Connecting AI to Playwright, APIs, test evidence, and CI/CD.

Abstract

AI-assisted software testing is moving beyond code generation toward agents that can inspect applications, execute tests, analyze failures, and interact with engineering tools. Model Context Protocol (MCP) provides a standardized interface for AI applications to discover and invoke tools exposed by external systems. The current MCP TypeScript SDK v2 exposes tools, resources, and prompts.

This article presents a code-first QA architecture using TypeScript, Playwright, Zod, structured outputs, permission boundaries, evidence collection, and human approval.…