"Testing Library" matching MCP servers:

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.

Enables AI assistants to control Apple Music on macOS through AppleScript, providing tools for playback management, library searching, and playlist organization. It supports detailed track metadata retrieval and enhanced queue management for a seamless music experience.

Enables AI agents to interact natively with the Windows OS to perform file navigation, application and window control, UI automation, QA testing, and administration, security, and forensic workflows through 104 MCP tools.

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.

Enables AI assistants to control a Minecraft bot through natural language commands using the Mineflayer library. Provides intelligent pathfinding, chat communication, entity detection, and generic access to Minecraft bot capabilities.

Enables Claude to fully control a Windows desktop with native screen capture, low-level input injection, game-grade input, and play-testing capabilities.

Enables AI assistants to write, validate, debug, and execute AutoHotkey v2 scripts on Windows, with tools for syntax checking, script execution, active window inspection, library search, and live debugging via DBGp protocol.

A lightweight MCP server that enables AI agents to seamlessly integrate with Windows, performing tasks like file navigation, application control, UI interaction, and QA testing.

Enables AI assistants to control Apple Music on macOS using AppleScript for playback, library management, and playlist operations. It supports features like searching tracks, managing the play queue, and retrieving detailed metadata through a structured interface.

Enables AI agents to interact with the Windows operating system, performing tasks such as file navigation, application control, UI interaction, and QA testing.

A lightweight server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing through various tools.

Enables Claude to see and interact with any macOS application using natural language commands. Perfect for testing Mac applications, UI automation, and app development with AI assistance.

Enables AI agents to control and interact with the Windows operating system, including file navigation, application control, UI automation, and QA testing.

Enables Active Directory enumeration and abuse operations through the bloodyAD tool. Supports LDAP queries, user/group management, DNS operations, and security testing directly from AI assistants.

Enables AI to control Final Cut Pro on macOS via CLI or MCP, allowing automation of tasks like library/project reading, importing FCPXML, and creating title/storyboard projects.

Enables comprehensive Ansible automation management through natural language, including playbook creation and execution, inventory management, role scaffolding, and project workflows. Supports both local inventories and full project lifecycle management with syntax validation and idempotency testing.

Enables comprehensive network security scanning and vulnerability assessment using Linux tools like nmap. Provides network discovery, port scanning, service identification, OS detection, and device discovery capabilities for authorized security testing.

Enables AI agents to seamlessly integrate with the Windows operating system, performing tasks such as file navigation, application control, UI interaction, and QA testing via the MCP protocol.

Enables AI agents to interact with Android devices through UI manipulation, screen capture, touch gestures, text input, and app management via ADB. Provides comprehensive mobile automation capabilities including element detection, navigation, and application control for Android device testing and interaction.

Enables AI agents to control Android devices and emulators through direct UI interaction, allowing app navigation, automated testing, and real-world task execution via ADB without computer vision or scripts.