"Automating a QA End-to-End Workflow" matching MCP servers:

MCP server for pre-print QA of Bambu Studio projects, providing tools to inspect models and 3MF files, validate risky settings, create support variants, and open files in Bambu Studio.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Run Apple Shortcuts on your iPhone, iPad or Mac from any MCP client over an end-to-end encrypted relay. The phone can stay locked.

Turn your Android phone into an MCP server. AI assistants connect on demand, query your health data, notifications, app usage, and take actions on your device — all end-to-end encrypted, no cloud sync.

Inspect a cronstable job scheduler's jobs, logs, run history, DAG workflows, and cluster health, and ask why a job did or didn't run. Read-only by default; tools that run, pause, or approve jobs and workflow runs need opt-in.

A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.

MCP server that exposes Ansible modules to AI agents with a search-schema-check-execute workflow, enabling safe ad-hoc runs via check mode by default. It provides tools to search modules, fetch schemas, run modules, and list collections.

A Model Context Protocol server that provides Android Debug Bridge functionality for automating Android devices, enabling remote device management, screen operations, app management, file operations, and shell command execution.

Enables AI agents to interact with and automate Windows desktop applications, providing UI inspection, mouse/keyboard control, OCR, and window management for QA tasks.

An MCP server that enables LLMs to see and control a computer — screen capture, window management, mouse and keyboard automation — with a structured plan-execute workflow for complex desktop automation.

Enables AI assistants to control Ubuntu desktops through screenshots, mouse clicks, and keyboard interactions using AT-SPI integration and computer vision. It features optimized element detection and workflow batching for fast and accurate visual interaction with desktop applications.

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.

Enables OpenCode to safely automate and verify Windows desktop and web browser interactions through 83 MCP tools, including UI automation, screenshots, visual diffing, workflow recording, and secret handling, with strict allowlist-based security.

Enables AI agents to inspect and drive native Windows desktop applications (WinForms, WPF, WinUI 3, and WebView2 hybrids) through Microsoft UI Automation by capturing interactive control snapshots, then clicking, filling, and asserting on elements via ephemeral refs or semantic screen-map targets. Mutating actions are dry-run by default and gated behind explicit arming, allow-lists, and a kill switch for lawful, assisted QA testing.

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 ChatGPT conversations to drive a paired Windows PC by reading and writing files, running interactive terminals, automating desktop UI, and composing or editing DOCX documents in WordCraft, all through 42 MCP tools. Access is secured with OAuth, device pairing, approved folders, and locally managed permissions for sensitive actions.

Enables management of FreeIPA resources including user groups, host groups, HBAC, and sudo rules via the FreeIPA JSON-RPC API. It provides comprehensive tools for automating access control and infrastructure provisioning in FreeIPA-managed environments.

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

Lets Claude create, list, edit, run, and delete one-click script buttons that appear on a bar docked to the Claude desktop window. Scripts run locally without prompts or token usage, automating routine tasks like pulling git repos or backing up folders.

Enables AI visual debugging on Windows by capturing specific application, IDE, and compiled-app windows directly into memory, with background, high-DPI, side-by-side, and optional ShareX workflow support.

A local MCP server that provides a secure bridge for automating macOS applications like Notes, Calendar, and Mail through AppleScript. It uses template-based execution and policy-based allowlists to enable safe, structured interaction with system tools.

Enables AI clients to connect by URL, approve once, and then call dozens of native tools to drive a Windows machine — mouse and keyboard input, screenshots, native dialogs, and shell commands. Access is controllable end to end, with live session counts, scoped and rotatable keys, per-path toggles across relay, tunnel, tailnet, or web dashboard, and one-click revocation.

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.

This MCP server provides read-only Linux system diagnostics tools for inspecting system information, processes, and log snapshots. It enables AI models to analyze Linux system health, troubleshoot issues, and review security through workflow prompts and HTTP transport with API key authentication.