e2e-verifier
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ProdPoke MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceEnables AI to perform real-browser QA testing on websites via Playwright, finding bugs, accessibility, SEO, and performance issues through natural language conversations.1MIT
QualityMax QA MCPofficial
AlicenseAqualityBmaintenanceEnables coding agents to independently verify web changes by scanning pages, inspecting UI structure, generating Playwright reproductions, and executing tests with structured QA evidence.4104 npm3MIT- AlicenseNot gradedqualityBmaintenanceEnables agent harnesses to run autonomous browser-based QA on staging apps, triage and fix found bugs, and re-verify them using the agent's existing model access.MIT
- AlicenseNot gradedqualityAmaintenanceEnables coding agents to validate web pages and run repeatable JSON browser scenarios, returning pass/fail results with local Playwright evidence such as screenshots, traces, and JUnit XML.26 npm1Apache 2.0
- FlicenseAqualityDmaintenanceDrives a real Chromium browser via Playwright to capture evidence (screenshots, video, trace) of feature verification sessions.7-
TDQS
Scored across 18 tools
Tools are grouped into clear clusters: target probing, session control, schema/validation, ticket/scenario runs, and run artifacts. The only real ambiguity is discover_elements vs session_inspect, which perform nearly the same ARIA snapshot/target query and differ only by whether an interactive session is already open; probe_target and session_open also both open a URL but have different intent.
Most tools follow clear snake_case verb_noun names (validate_ticket, run_ticket, list_runs, delete_run), and the session_* prefix makes that cluster immediately recognizable. It is not completely uniform because session tools invert the order (session_open instead of open_session) and server_info is a noun_noun outlier, but the pattern is still predictable.
18 tools is on the heavier side, but each one maps to a distinct stage of the workflow: one-off probing, session lifecycle, ticket/scenario execution, and artifact retrieval. The count is slightly above the ideal range but feels justified by the domain rather than bloated.
The tool surface covers the full lifecycle: probe/open, inspect/discover targets, act/assert, annotate/screenshot, close session, run tickets/scenarios, fetch runs/artifacts, and delete. There are no obvious dead ends or missing operations for a bug-verification server.