"Exploring the Concept of Multi-Agentic Systems" matching MCP servers:

Enables AI agents to manage system updates, application installations, and remote host orchestration through MCP tools.

MCP server that enables LLMs to control Android devices via ADB, providing tools for screen interaction and UI inspection.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Enables AI agents to create, update, delete, list, and inspect OS-native scheduled tasks and their logs across Windows, Linux, and macOS through a unified interface.

Your sysadmin co-pilot — an AI that administers Linux through typed, approval-gated, Ed25519-audited actions instead of shell strings. Reference implementation of the LACS standard.

Enables MCP clients to manage and orchestrate autonomous agents, budgets, and multi-agent workflows within the OpenMesha agentic operating system.

Bridges LLMs with Uyuni infrastructure management, enabling natural language system administration such as inspecting systems, managing updates, and scheduling actions.

Enables cluster-aware command execution and automatic task routing across distributed nodes based on system load, architecture, and OS requirements. It supports parallel execution, remote node management via SSH, and dynamic load balancing for agentic workflows.

Linux system administration via AI agents — MCP server for managing services, processes, disk, network and logs on Linux systems.

Enables background window capture and input automation without moving the cursor or stealing focus, working across Windows, Linux X11, and Wayland systems.

Enables opening files, folders, and URLs across different operating systems with special support for Linux Flatpak Firefox installations, handling filesystem sandboxing restrictions automatically.

Enables AI assistants to print documents, manage print queues, and control printers on macOS/Linux systems via the CUPS printing system. Supports printing PDFs, text files, and other formats with options like duplex printing, landscape orientation, and multiple copies.

Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.

Enables AI to remotely control macOS systems via VNC with full desktop capabilities including screenshots, mouse control, keyboard input, and application management. Includes a web-based chat interface for natural language control.

The first open-source MCP server that enables AI to fully control remote macOS systems.

Enables AI agents to manage macOS audio routing, device switching, volume control, and multi-zone playback.

A comprehensive Model Context Protocol (MCP) server that enables Claude and other LLM applications to execute PowerShell commands, scripts, and perform system operations on Windows systems.

Enables AI agents to remotely control computers via VNC, including mouse movement, clicking, keyboard input, text entry, and screen capture across Windows, Linux, and macOS systems.

An MCP server that allows AI agents to remotely control Windows, Linux, and macOS systems via VNC. It provides tools for mouse and keyboard interaction, text input, and screen capturing.

Enables AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities. Provides process management, device control, JavaScript REPL execution, and script injection for runtime analysis and reverse engineering.