Argus
Related Servers
Alternatives to Argus
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceBrowser-based QA testing for AI-built software. Agents open real browsers (via Selenium), navigate pages, fill forms, click buttons, and report findings. Two modes: targeted tests (30-90s) and full-site discovery scans (3-15min).-
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to drive a real browser like a person — crawling every page and role, running real user journeys, and auditing controls a DOM-based test misses — so UI, accessibility and permission bugs are found and only the screens affected by recent changes are re-tested. Runs are script-driven and read-only by default, so testing costs no model tokens and nothing about the app is sent to an AI.MIT

QAJev MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to crawl websites, run plain-language goal-based checks, read reports and screenshots, and follow or stop runs through MCP.3MIT- AlicenseAqualityCmaintenanceAI-powered QA testing platform — catches JS errors, accessibility failures, visual regressions, API loops, security issues, and more via Chrome DevTools MCP977 npm5MIT

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- AlicenseAqualityCmaintenancePoint your coding agent at a URL and get a real-browser QA audit: broken signup/login/checkout flows, JS console errors, missing analytics, consent + security headers, mobile tap targets, and accessibility — returned as machine-verified findings graded A-F.4422 PyPI2Apache 2.0
TDQS
Scored across 29 tools
Most tools have clear, distinct roles within browser QA: navigation, interaction, evidence capture, recording, and coverage. There is some overlap between click_what and test_action, and between verify_persistence and record_bug's verify path, but the descriptions generally make the intended choice clear.
All names use snake_case, but the naming conventions are mixed: verb-first tools like click_what and type_into, bare verbs like navigate and observe, and noun-first forms like capsule_save, coverage_update, and regression_check. The names remain readable, but the pattern is not predictable across the set.
With 29 tools, the surface is quite heavy for a single MCP server and exceeds typical well-scoped ranges. While the domain is broad, several low-level controls such as resize, scroll_down, go_back, and press_key could be consolidated into broader interaction tools.
The set covers the core exploratory testing lifecycle: session start/end, navigation, interactions, form submission, responsive emulation, screenshots, error capture, persistence checks, regression checks, coverage, and test export. Minor gaps such as forward history, drag-and-drop, or explicit multi-tab handling are not fatal for most workflows.