#QA

MCP server for e-mail testing: create disposable inboxes, wait for delivery, and extract e-mail content or links - all from your AI agent or test automation workflow. Get a free API key on https://app.zyntra.app/

Model Context Protocol server for sociological research into QAnon

[MCP Server] Complete QA for cursor -> (soon to be renamed to VibeCheck)

A Model Context Protocol server for the QA Sphere test management system. This integration enables Large Language Models (LLMs) to interact directly with QA Sphere test cases, allowing you to discover, summarize, and chat about test cases. In AI-powered IDEs that support MCP, you can reference specific QA Sphere test cases within your development workflow.

Put cursor in a feedback loop - QA for cursor

[MCP Server] Complete QA for cursor

MCP Server for QA Sphere TMS

An MCP server that autonomously evaluates web applications.

MCP (Model Context Protocol) server for MobAI (https://mobai.run) - AI-powered mobile device automation. This server enables AI coding assistants like Cursor, Windsurf, Cline, and other MCP-compatible tools to control Android and iOS devices, emulators, and simulators. Features - Device Control: List, connect, and manage Android/iOS devices - UI Automation: Tap, type, swipe, and interact with native apps - Web Automation: Control Safari/Chrome and WebViews with CSS selectors - DSL Batch Execution: Execute multiple automation steps efficiently - AI Agent: Run autonomous agents to complete complex tasks - Screenshot Capture: Capture and save device screenshots

[MCP Server] Complete QA for cursor

Webvizio MCP Server - Automatically converts feedback and bug reports from websites and web apps into actionable, context-enriched developer tasks. Delivered straight to your AI coding tools, the Webvizio MCP Server ensures your AI agent has all the data it needs to solve tasks with speed and accuracy.

Zenable cleans up sloppy AI code, prevents vulnerabilities, and automates governance with deterministic guardrails so developers can ship faster, safer, and with confidence. Use Cases: 1. AI coding assistants generate vulnerable code with security flaws and compliance violations. Zenable acts as a real-time safety net that catches SQL injections, hardcoded secrets, and policy violations as code is written - ensuring you ship AI-accelerated code with confidence and zero security compromises. 2. Rapid AI-driven development introduces inconsistent patterns and technical debt. Zenable provides automated governance checks that ensure every AI-generated feature meets your standards, enabling 10x development speed without sacrificing code quality. 3. Bugs slip through reviews and automated testing misses edge cases. Zenable provides AI-powered analysis that identifies subtle bugs and suggests fixes before production, resulting in fewer production incidents.

MCP server for API test case generation from Swagger/OpenAPI specs. Parses Swagger 2.0 and OpenAPI 3.x, generates test cases across 8 categories (positive, negative, boundary, auth, security, idempotency, pagination, business logic), and exports to Postman, TestRail, Allure, k6, pytest, Gherkin, and CSV. Supports internal corporate APIs with auth headers. Auto-saves export files to your working directory.

Run visual regression tests, review screenshot diffs, and manage baselines on a Lastest instance.

Run real Playwright E2E tests from your AI coding agent — no Playwright knowledge required. Describe what to test in plain English, Assert writes and executes the test against your live app, and reports back step-by-step results. Works with Claude (Desktop & Code), Cursor, Windsurf, and any MCP-compatible client.

@q-mesh/mcp lets Claude, Cursor, Continue and any MCP client query the [QMesh](https://q-mesh.com) crowdtesting platform.