"How to remotely connect to an MCP running on a Raspberry Pi" matching MCP servers:

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.

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.

Provides AI agents with real-time ground truth about what's actually running on the machine, including live agent sessions, listening TCP ports, loaded daemons, and system stats. It reads directly from the OS via fixed commands, ensuring agents never rely on stale docs or transcripts.

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

MCP server for Raspberry Pi exposing tools for host health checks, shell execution, and Docker container restarts over authenticated HTTP.

Enables local management of Raspberry Pi devices over SSH from VS Code, including status checks, remote file reads, systemd service inspection and control, command execution, and power actions with explicit opt-in security safeguards.

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 ChatGPT to securely manage a Raspberry Pi's Kalshi live-recorder project through MCP, including file operations under /srv/kalshi, Git pulls, service control, and health inspection, while deliberately restricting access to the rest of the system.

Enables MCP clients to capture screenshots and control a Raspberry Pi's Wayland desktop over an existing SSH connection with mouse, drag, scroll, keyboard, and Unicode typing actions. Input tools return fresh screenshots, enforce single-client sessions with idle release, and reject stale or uncertain state until verified.

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.

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

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

Connects AI assistants to Pi-hole network-wide ad blocker, enabling monitoring of DNS traffic statistics, controlling blocking settings, managing whitelist/blacklist domains, viewing query logs, and performing maintenance tasks through natural language.

Enables AI agents running in WSL to control the real Windows desktop — capturing screenshots, moving the mouse, typing text, and managing windows. Combines a non-intrusive UI Automation semantic mode with pixel-coordinate input simulation across 20 tools.

Enables control of Pi-hole v6 ad blocking, allowing users to toggle DNS blocking status and retrieve real-time statistics like query counts and blocked domains. It provides a structured interface for monitoring and managing network-level ad filtering through the Pi-hole REST API.

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.

Enables an AI agent to see and control Android devices, including x86_64 emulators and redroid, through 68 tools covering gestures, typing, apps, notifications, files, browser control, and more.

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

MCP server for live process memory introspection and debugging on Linux x86_64. Enables reading/writing process memory, searching patterns, ptrace attach/registers, running commands, and valgrind execution.