"Using agents in VSCode to reference library documentation during programming" matching MCP servers:

Enables AI agents to manage KVM/libvirt virtual machines and Borg/Timeshift backups on Fedora, with sudo and destructive operations flagged for confirmation.

A unified MCP-compatible system for controlling fleets of remote machines through AI agents.

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

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

Enables any AI agent to perceive and control a Windows desktop through live screen capture, OCR, and safety-gated mouse/keyboard actions via a local HTTP API and MCP.

Enables mobile device automation for Android (via ADB) and iOS Simulator (via simctl), allowing you to control devices with natural language through screenshots, UI interactions, text input, and app management.

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 AI agents to start and stop full-screen recordings on macOS using FFmpeg, with control over quality, FPS, and audio.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

A secure server that enables AI applications to execute shell commands in specified directories, supporting multiple shell types (bash, sh, cmd, powershell) with built-in security features like directory isolation and timeout control.

Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.

Enables interaction with Foreman instances to manage systems through the Model Context Protocol. It provides access to Foreman resources and tools, such as security update reports, directly within AI-powered environments like VSCode and Claude Desktop.

Linux desktop HAL for AI agents. One daemon, one socket, every desktop action. GNOME, KDE, Hyprland, X11. Ships in one command.

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.

Gives AI agents uniform perception and control over Android, iOS, and mock mobile devices through MCP, including taps, typing, app navigation, deep links, SMS/OTP retrieval, and human-in-the-loop approvals.