Unleashes LLM-powered agents to autonomously execute and debug web apps directly in your code editor, with features like webapp navigation, network traffic capture, and console error collection.
Provides secure access to the Bugcrowd bug bounty platform API, optimized for OpenAI's Agents SDK integration to enable vulnerability management and security research.
Enables interaction with iOS simulators by providing tools to inspect UI elements, control UI interactions, and manage simulators through natural language commands.
A Model Context Protocol server that exposes project-specific development tools (tests, linters, typecheckers) to coding assistants through a simple YAML configuration, eliminating the need for manual command approval.
A Model Context Protocol server that enhances AI-generated code quality through comprehensive analysis across 10 critical dimensions, helping identify issues before they become problems.
A comprehensive MCP server that provides powerful web automation tools using Playwright, enabling web scraping, testing, and browser interaction through natural language commands.
A Model Context Protocol (MCP) service that enables integration with Mantis Bug Tracker, allowing users to query and analyze bug tracking data through natural language commands.
A server that converts Allure test reports into LLM-friendly formats, enabling AI models to better analyze test results and provide insights about test failures and potential fixes.
A Model Context Protocol server that enables building Android projects and running tests directly in Visual Studio Code through extensions like Cline or Roo Code.
A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, generate test code, scrape web content, and execute JavaScript in real browser environments.
A Model Context Protocol server that provides AI vision capabilities for analyzing UI screenshots, offering tools for screen analysis, file operations, and UI/UX report generation.
AI-optimized Vitest interface that provides structured test output, visual debugging context, and intelligent coverage analysis for more effective AI assistance with testing.
Allows AI agents to control web browser sessions via Selenium WebDriver, enabling web automation tasks like scraping, testing, and form filling through the Model Context Protocol.
A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.
MCP server for Xcode build automation and log parsing that opens Xcode projects, triggers builds directly in Xcode, and parses build logs to extract errors and warnings.
Primarily to be used as a template for developing MCP servers with FastMCP in Python, PyMCP is somewhat inspired by the official everything MCP server in Typescript.
A Model Context Protocol server that connects Flutter apps with AI coding assistants like Cursor, Claude, and Cline, enabling AI-powered analysis of widget trees, navigation, and layout issues.
A Model Context Protocol server that enables generating and managing Robot Framework test automation with SeleniumLibrary, including test case generation, page object models, and advanced web testing capabilities.
A TypeScript-based MCP server that provides integration with the Qase test management platform, allowing you to manage projects, test cases, runs, results, plans, suites, and shared steps.
A Model Context Protocol server that allows interaction with TestRail's core entities (projects, cases, runs, results, datasets) through a standardized protocol compatible with MCP clients like Claude Desktop.
Allows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!
A Model Context Protocol server providing security vulnerability intelligence tools including CVE lookup, EPSS scoring, CVSS calculation, exploit detection, and Python package vulnerability checking.
A server that integrates Locust load testing capabilities with AI-powered development environments, allowing users to run performance tests through natural language commands.
An MCP server that reviews UI edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements.
Enables intelligent code analysis and debugging through the Perplexity AI's API, offering detailed error analysis, pattern detection, and comprehensive solutions, with integration support for the Claude desktop client.
Integration between Model Context Protocol (MCP) and Facebook's iOS Development Bridge (idb), enabling automated iOS device management and test execution through natural language.
A lightweight, configurable server that fetches coding guidelines, security rules, and validation patterns from external sources to help development teams maintain code quality standards in WordPress projects.
Provides web accessibility analysis and color blindness simulation using axe-core and Puppeteer, enabling detailed accessibility checks and visual simulations based on WCAG guidelines.
An MCP (Model Context Protocol) server for performing accessibility audits on webpages using axe-core. Use the results in an agentic loop with your favorite AI assistants (Cline/Cursor/GH Copilot) and let them fix a11y issues for you!
A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
A Model Context Protocol server that enables automated end-to-end testing with LLMs using Playwright's accessibility tree rather than pixel-based inputs.
Enables enterprise-grade authentication management with secure credential handling and support for multi-protocol auth, complete with tools for analyzing, setting up, and testing authentication systems.
A Model Context Protocol (MCP) server that enables mobile app automation using Appium, supporting various device interactions, element operations, and app management through a standardized protocol.
Facilitates unified execution and result parsing for various testing frameworks, including Bats, Pytest, Flutter, Jest, and Go, through a Model Context Protocol interface.
QA Sphere MCP server that enables Large Language Models to interact directly with test management system test cases, supporting AI-powered development workflows and test case discovery.
Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.
Enables automated web accessibility scans for WCAG compliance using Playwright and Axe-core, providing visual and JSON reports with remediation guidance.
An MCP server that enables running Postman collections using Newman, allowing LLMs to execute API tests and get detailed results through a standardized interface.
A lightweight Python-based microservice that provides simple echo functionality, receiving messages and returning them back to the client for diagnostic and testing purposes within the MCP framework.
Processes test scenarios from user prompts to generate complete WDIO test suites with intelligent file management that analyzes existing files to determine whether to update them or create new ones.
A Model Context Protocol server that enables execution of JMeter performance tests through AI assistants and MCP-compatible clients like Claude, Cursor, and Windsurf.
A server that allows using natural language to automate test flows with Playwright, leveraging MidScene's AI agent capabilities to interact with web elements and perform assertions.
Maestro is the simplest and most effective UI testing framework for Mobile and Web.
Maestro MCP allows you to control emulators, interact with apps, write and automatically debug UI tests on Claude Code, Cursor or Windsurf.
A Model Context Protocol (MCP) server that provides a simple sleep/wait tool, useful for adding delays between operations such as waiting between API calls or testing eventually consistent systems.
Playwright MCP server enables AI-driven Playwright test generation by allowing interaction with web pages and element inspection. Integrated with IDEs like Cursor, it provides real-time context to enhance test accuracy and efficiency.
An MCP server that executes tox commands to run Python tests within a project using pytest, allowing users to run all tests or specific test groups, files, cases, or directories.
An MCP server that automatically generates TypeScript Page Object classes and comprehensive Cypress test suites for any web page, supporting element interactions, workflow tests, and both positive and negative testing scenarios.
A Model Context Protocol server that enables AI assistants to build and test Xcode projects directly through a standardized interface, with capabilities for running tests, monitoring progress, and accessing logs in real-time.
A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.
A Model Context Protocol server that enables executing and interacting with JMeter tests through MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.
MCP server that enables browser automation and web testing on ARM64 devices like Raspberry Pi, allowing users to navigate websites, take screenshots, execute JavaScript, and perform UI testing via Claude.
A lightweight open-source server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing without requiring computer vision.
An MCP server that allows agents to test and compare LLM prompts across OpenAI and Anthropic models, supporting single tests, side-by-side comparisons, and multi-turn conversations.
A Model Context Protocol server that enables AI assistants to interact with iOS simulators, perform accessibility testing, manage apps, and automate complex iOS workflows.
A test server implementing all features of the MCP protocol, including prompts, tools, resources, and sampling, designed for testing MCP clients rather than practical applications.
A Model Context Protocol server that provides programmatic APIs for running mutation tests with mutmut, analyzing results, and improving test coverage in Python projects.
Provides automated GUI testing and control capabilities through an MCP server that enables mouse movements, keyboard input, screen captures, and image recognition across Windows, macOS, and Linux.
A server implementation of the Model Context Protocol (MCP) for managing development workflow with features like project management, task tracking, and QA review support.
A Model Context Protocol server that enables AI assistants to interact with Android devices through ADB, allowing for automated device management, app installation, file transfers, and screenshot capture.
Provides Trivy security scanning capabilities through a standardized interface, allowing users to scan projects for vulnerabilities and automatically fix them by updating dependencies.
A Model Context Protocol server that enables AI assistants like Cursor to interact with Testomatio test management platform, allowing users to query test cases, runs, and plans through natural language.
A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.
Enables AI assistants to interact with Godot game projects through real-time error detection, automated testing, code analysis, and safe git-based patching. Provides comprehensive project context and development workflow automation for Godot developers.
A Model Context Protocol tool for analyzing code repositories, performing security scans, and assessing code quality across multiple programming languages.
An AI-powered MCP server that automates web testing workflows by enabling recording, execution, and discovery of tests through natural language prompts.
A Message Control Protocol server that runs PHP tests and static analysis tools automatically for developers, providing results directly to AI assistants in Cursor editor.
AI-powered agent that streamlines web testing workflows by allowing developers to record, execute, and discover tests using natural language prompts in their AI coding assistants.
AI-powered agent that integrates with coding assistants via MCP to automate web testing workflows, allowing developers to record tests, execute regression testing, and discover test flows using natural language prompts.
A Model Context Protocol server that enables natural language interaction with the Coverity Connect static analysis platform, allowing users to manage projects, analyze snapshots, and generate security reports through AI-powered interfaces.
Implements a Model Context Protocol server that provides context from CucumberStudio to AI assistants, enabling them to fetch data and generate or modify test scenarios, features, and other CucumberStudio resources.
An MCP server that allows AI tools like Claude Desktop, Claude Code, and Cursor to visually interact with macOS applications by capturing screenshots and controlling the mouse and keyboard.
A utility toolkit that enhances Claude's code interaction capabilities by providing seamless tools for Java code analysis, manipulation, and testing workflows.
An interactive tool that enables users to benchmark vLLM endpoints through MCP, allowing performance testing of LLM models with customizable parameters.
A standalone server enabling Snyk security scanning through the Model Context Protocol, with support for repository and project analysis, token verification, and CLI integration.
An MCP Server that provides access to Google's Cloud Tool Results API, enabling applications to programmatically interact with test results from Firebase Test Lab and mobile app testing through natural language.
A comprehensive server that integrates mobile testing frameworks with JIRA, generating BDD test scenarios and framework-compatible test scripts automatically.
A simple MCP (Multimodal Conversational Plugin) server based on Joern that provides code review and security analysis capabilities through natural language interfaces.
An MCP server that enforces unit testing standards by linting code and guiding agentic coding tools (like Gemini CLI or Claude Code) to follow best practices in test-driven development.
Provides advanced Flutter development tools via Model Context Protocol with features including widget analysis, documentation search, performance optimization, and code generation.
A server that implements the Model Context Protocol (MCP) for orchestrating code reviews using a multi-agent system with Melchior, Balthasar, and Casper agents.
A testing environment for MCP server setup and client-server interactions, allowing users to verify basic MCP server functionality and test client-server communications including shell command execution.
A Model Context Protocol server designed to facilitate Nextflow development and testing, providing tools for building from source, running tests, and managing the Nextflow development environment.
A Model Context Protocol server that integrates with the Qase test management platform, allowing users to create and retrieve test cases, manage test runs, and interact with Qase projects.
A custom MCP server that provides high-level tools for controlling Shopmium and Quoty apps on Android emulators, allowing for automated app navigation, interaction, and testing without needing to handle low-level implementation details.
A Node.js-based Model Context Protocol implementation that provides a standardized interface for integrating Mobile Security Framework's security analysis capabilities into automated workflows and third-party tools.
A Node.js server that integrates with pytest to facilitate the ModelContextProtocol (MCP) service tools, enabling test execution recording and environment tracking.
A Model Context Protocol server that provides integration with TestRail, allowing AI assistants to interact with TestRail projects, test cases, test runs, and results.
Programmatically generates and saves Gherkin feature files using the Model Context Protocol (MCP), making it easy to integrate with other applications.