"Using AI to control and access data from Home Assistant and smart home devices" matching MCP servers:

Self-hostable MCP server that gives Claude tools to run shell scripts and read files on a home server, deployed via Multipass VM and Cloudflare Tunnel.

Enables SSH and UART/serial port access for Claude Code to directly control remote devices like Raspberry Pi, embedded systems, and IoT devices. Supports command execution, file transfers via SFTP, and serial communication.

Turns any Linux server into an AI-agent-accessible machine over HTTPS, allowing MCP clients like ChatGPT, Claude, and Grok to securely control files, run shell commands, inspect system state, query SQLite, and work with git behind a bearer token.

Enables cloud services with MCP support, such as Notion AI, to read, search, edit, create, and delete files within a single designated folder on your computer, and to run only allowed commands.

Provides full control of a macOS system, enabling AI agents to execute shell commands, run AppleScript, manage files and processes, and perform human-like GUI interactions such as clicking, dragging, scrolling, and typing, with a screenshot-based perception loop.

MCP server that enables AI to fully control macOS — mouse, keyboard, terminal, screenshots, window management, UI element detection, and provides AI-optimized information reporting.

Enables comprehensive Android device control over ADB, including UI automation, screen capture/recording, app management, file operations, and log/notification access, with a built-in permission system.

A PTY-based MCP server providing persistent, interactive shell sessions with strong Windows support, enabling AI agents to run commands, handle interactive tools, and manage large output across MCP-compatible clients.

Enables AI services like Claude and Cursor to remotely control a Mac by executing shell commands, managing files, and running AppleScript for UI automation. Access is secured through OAuth 2.0 authentication and encrypted tunnels to protect remote interactions.

Enables MCP clients to manage remote Linux terminals over SSH, supporting multi-host and jump-host command execution, background task control, and SFTP file writes, edits, and verified uploads.

Enables controlling an Android device from an MCP client via ADB, including wireless debugging discovery, UI-tree inspection, and performing taps, swipes, typing, app actions, and shell commands without relying on screen coordinates.

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.

A production-grade MCP server that lets AI cloud services control and manage your Linux server securely via HTTP/SSE.

Bridges Claude Desktop to local Windows 10 development environments to enable repository reading, documentation searching, and isolated code execution. It provides a secure interface for running allowlisted terminal commands and scripts directly through natural language.

Manage local/SSH/WinRM remote hosts via MCP, providing tools for exec, filesystem, screen, process, serial console, and configuration.

Provides full access to a local Windows computer via MCP, enabling arbitrary command execution, file operations, and process management through a secure stdio or HTTP tunnel.

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 comprehensive control over macOS GUI elements including mouse, keyboard, window management, and screen capture. It allows for automated system interactions and script execution while maintaining safety by blocking potentially destructive deletion commands.

Cross-platform command execution server that intelligently adapts shell commands to the operating system and detects project-specific package managers (npm/bun, pip/poetry), with runtime-editable command mappings per project.

Enables comprehensive Linux desktop agent capabilities for Ubuntu/Debian systems, including system state monitoring, package management, persistent terminal sessions, and desktop control via mouse, keyboard, and screen capture, with support for multiple remote machines and a built-in permission system.

Enables AI assistants to perform local development tasks on Windows by reading and editing files, running commands, and controlling browser and desktop tools, all within isolated workspaces. Supports secure remote access via an optional tunnel for ChatGPT clients.

Enables AI agents to monitor system resources and control media, brightness, volume, and other Windows PC functions through natural language commands.

Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.

Enables local/remote execution infrastructure through the official Codex Runtime, providing shell, files, Git, sessions, browser, computer use, recoverable tasks, multi-host routing, dynamic MCP integration, and skill lifecycle management.

Enables persistent terminal sessions across multiple shells (Bash, CMD, PowerShell, WSL) with incremental output reading and autonomous goal execution with acceptance criteria.

A safety-first MCP server enabling file inspection/editing, allowlisted command execution, process listing, and optional desktop automation. It emphasizes security with disabled writes/commands/GUI by default and local feature gates.

Controls a Linux host through structured interfaces like systemd, journald, and D-Bus for service management, journal queries, power operations, and more, with safety guards to prevent accidental damage.

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

It enables AI assistants to run installed command-line tools and scripts, drive persistent terminals and browsers, and retrieve saved jobs, screenshots, and other evidence on a server. It also provides a dashboard for tracking sessions, installed tools, and connection settings.

Connects compatible AI clients to registered Windows or macOS computers, allowing users to inspect systems, work with files, run supported commands, and automate workflows through authorized remote access.