Qualityiris is an Inspection Management System for the apparel industry. This public MCP server lets any AI assistant answer questions about Qualityiris — features, pricing, FAQ — and submit interest on behalf of a prospective user. Tools: about_qualityiris, list_features, list_pricing_plans, get_faq, submit_interest.
AI-powered website feedback, visual bug reporting, and website annotation MCP server. Connect AI coding assistants to Vynix to capture website feedback, create GitHub issues, access project data, and automate developer workflows.
Your AI shipped it. Mushi tells you why it broke — plain diagnosis and a paste-ready fix prompt in Cursor. No second LLM key.
Generates high-quality unit tests for Python code with a coverage before/after report on every run. Derives concrete edge cases (None inputs, numeric boundaries, empty collections, exception paths) and returns ready-to-run pytest files with external I/O automatically mocked. Free tier: 100 executions. Pro: $19/month.
130+ QA & dev tools for AI agents. Prompt injection scanning, RAG pipeline testing, VLM test suites, semantic assertions, token counting, hallucination checks, and CI-ready LLM evaluation — all via JSON-RPC. Free, no API key, no signup.
Simulate and evaluate voice & text agents from your editor. Generate synthetic-user "Drivers" from your codebase, run multi-turn simulations against your agents, and pull back transcripts, traces, and scores without leaving your AI assistant.
AI-powered QA harness for Claude Code — automated bug detection via Chrome Dev-Tools Protocol, no test scripts required.
Programmatic temp email inboxes for QA tests and AI agents. 8 MCP tools, free tier 50 inboxes/month, MCP server published as @mailsink/mcp on npm.
Autonomous AI browser testing. Give Testorax a URL and it crawls your app, generates test scenarios, runs them in real browsers, and returns a bug report with screenshots. No test code to write. Works with any deployed web app.
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/
@q-mesh/mcp lets Claude, Cursor, Continue and any MCP client query the [QMesh](https://q-mesh.com) crowdtesting platform.
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 tests directly from Claude, Cursor, or Windsurf. Detects Jest, Vitest, pytest, Mocha automatically.
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.
A high-performance Model Context Protocol (MCP) server connecting AI assistants (Claude, Cursor, Windsurf) directly to TestRail.
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
Manage test cases directly from Claude, Cursor, Windsurf, and other MCP-compatible AI coding assistants. TestCollab serves as a governance layer and truth engine for AI-generated code - your test cases define what "correct" means, so when AI writes or modifies code, it has a clear source of truth to validate against. Features: • List test cases with filtering and sorting • Create new test cases • Update existing test cases • Pagination support for large test suites
An MCP (Model Context Protocol) server that provides comprehensive browser automation and QA testing capabilities. This server integrates with desplega.ai to offer automated testing, session monitoring, batch test execution, and intelligent test guidance using AAA (Arrange-Act-Assert) framework templates.
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.
The OopsBot MCP Server is a Model Context Protocol (MCP) implementation that provides AI agents with comprehensive test case generation and management capabilities. Transform your product requirements into comprehensive test cases using AI-powered automation.
Logic analyzer MCP This project provides an MCP (Message Control Protocol) server and automation interface for Saleae logic analyzers. It enables remote control, automation, and integration of Saleae Logic devices and captures, making it easy to script, manage, and analyze logic analyzer data programmatically.
This project is an MCP-based quantum computing experiment submission tool. Users can generate QASM code via large language models and submit experiments to cloud.spinq.cn.
[MCP Server] Complete QA for cursor
[MCP Server] Complete QA for cursor -> (soon to be renamed to VibeCheck)
Put cursor in a feedback loop - QA for cursor
BrowserStack MCP Server allows you to use our cutting-edge Test Platform directly from your favourite AI tools. Enable every developer and tester in your team, whether they are testing manually, starting their automation journey, or scaling test automation.
MCP Server for QA Sphere TMS
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.
An MCP server that autonomously evaluates web applications.
Model Context Protocol server for sociological research into QAnon