"Setting Up AI Employee Tools on Docker Containers with MCP Servers" matching MCP servers:

A powerful Model Context Protocol (MCP) server for Docker operations, enabling seamless container and compose stack management through Claude AI.

Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.

Enables AI assistants like Claude to manage Docker containers, images, and Docker Compose deployments through the Model Context Protocol. Provides secure container lifecycle management, image operations, and multi-host Docker server connections.

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

An MCP server that provides Claude with comprehensive desktop automation capabilities including browser control, window management, and native mouse/keyboard input on Windows. It enables users to capture screenshots, launch applications, and interact with the system clipboard through natural language.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

A comprehensive MCP server with 30+ custom tools organized into categories: date/time operations, file management, system information, text processing, and web operations. Enables async communication with robust error handling and flexible CLI integration.

Provides advanced system monitoring and file search capabilities for macOS, allowing users to track performance metrics and perform enhanced file searches with content analysis and tagging features.

Full computer control for AI agents on macOS — see, click, type, scroll via MCP. Works with any app, all processing on-device with PII protection.

Enables AI agents to remotely control gaming PCs for automated gameplay with tools for screen capture, mouse/keyboard control, workflows, and system operations.

Provides environment and configuration tools for AI agents, enabling parsing and generation of .env files, port checking, system information inspection, and dependency verification.

Enables loading plain-Python tool sets for Google Workspace (Gmail, Calendar, Chat, Docs, Sheets, Slides, Drive), Mac control, and clock/time-zone lookups, then exposing them as MCP tools with confirmation gates on sends and deletes. Tool sets can be served in-process to the Claude Agent SDK or over stdio to any MCP client, either individually, in groups, or all at once.

Enables AI agents and test runners to control Android devices via local ADB, including listing devices, tapping, swiping, typing, sending system keys, launching apps, and dumping UI hierarchy. Communicates over MCP stdio without exposing network listeners.

A cross-platform MCP server that enables AI assistants to manage printers, query printer status, and print files on Windows, macOS, and Linux.

Enables AI models to play the game Peggle by capturing the primary monitor's screen and simulating mouse clicks. It provides tools for visual analysis and coordinate-based interaction to automate gameplay.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

Connects ChatGPT Web to a self-hosted local coding workbench, enabling file editing, shell commands, Git/GitHub operations, multi-workspace management, code review, terminal processes, checkpoints, and optional Docker sandboxing.

Enables GUI automation by executing Python code with instrumented pyautogui, providing MCP-friendly output and inline screenshot delivery.

Native Windows MCP server that gives AI agents full desktop control. 45+ tools using UIAutomation + OCR with automatic dark theme enhancement instead of screenshots. Features batch action sequencing (run_sequence), window occlusion detection, menu navigation, PrintWindow capture, and embedded AI workflow instructions. Single .NET 8 executable — no Python, no Node, no Selenium.