Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
AI 測試大師 — end-to-end QA loop over MCP. Drives pytest / Jest / Cypress / Go / Maestro from one surface; analyzes URLs (Web DOM) or live mobile screens (maestro hierarchy) to extract testable modules, generates runnable pytest or Maestro YAML with real selectors (not TODO stubs), runs with auto-retry, then writes a prioritized optimization-plan.md ranked by evidence (flaky vs broken vs coverage gap). Mobile-first: iOS Simulator, Android Emulator, real devices, and BlueStacks (QAANDROIDHOST=127.0.0.1:5555). Install via uvx mk-qa-master.
Deterministic execution engine for AI agents with 412 modules across 78 categories (browser, file, Docker, data, crypto, scheduling). Features execution trace, evidence snapshots, replay from any step, and supports both STDIO and Streamable HTTP transport.