Controlled A/B testing for AI agent skills, .cursorrules, CLAUDE.md, and system prompts: blind grading, bootstrap confidence intervals, and HELPS/PLACEBO/HARMS effect size measurement.
Generate and run tests.
Controlled A/B testing for AI agent skills, .cursorrules, CLAUDE.md, and system prompts: blind grading, bootstrap confidence intervals, and HELPS/PLACEBO/HARMS effect size measurement.
Mobile QA on local Android Emulators and iOS Simulators: autopilot tests, evidence, reports.
Official MCP server for TestKase — AI-powered test management for Claude, Copilot, and any MCP-compatible agent
Model Context Protocol (MCP) Server for Responsive Tester - Multi-Screen Responsive Web Simulator & Testing Extension
Record a flow through your app, check it after every change, and attack a copy of your database.
Drive an MCP server over real stdio against a real backend, and prove every tool was exercised
Local-first browser testing for AI coding agents: write durable browser specs, replay them in a real browser, and get repair-ready evidence
Enterprise Model Context Protocol server for Testomat.io API with analytics tools
MCP server that lets AI agents interact with and debug Tauri applications via the tauri-plugin-mcp socket (screenshots, DOM access, input simulation, log querying)
Read-only codebase audits for coding agents: secrets, RLS, deps, review verdicts. No writes.
CLI tool for managing MCP server clusters and testing workflows.
Drives a real Chromium browser: navigate, click, type, read pages, OCR, QR, network capture
MCP gateway for QA/SDET work: Playwright, files, GitHub, Jira, Postgres & more in one connection.
MCP Server for Step (step.dev) execution reporting and analysis
The adaptive AI harness for React Native — project-aware SDLC intelligence for any agent
Advanced Model Context Protocol (MCP) server for Vitest testing with intelligent resources, coverage analysis, and AI-assisted development workflows
High-performance Model Context Protocol (MCP) server for QuickCast Screen-to-Action Protocol: automated bug reporting, Playwright E2E test scaffolding, and SOP generation from QuickCast recordings.
SDODS MCP server: project analysis, runs, results and proposals as tools for AI clients.
SDODS command line: run, record, analyze, agents, MCP server, scheduler and the web server.
CodeLoop MCP server - verification, self-repair, and recommendation layer for AI coding agents