"Shell" matching MCP servers:

Enables controlling MuMu Player 12 Android emulator on macOS, including emulator lifecycle, app management, UI automation, screen capture, device settings, and ADB shell commands.

Enables sending push notifications via ntfy with a single tool, allowing Claude agents to send notifications directly without shell access.

Enables AI to generate fully authored Elgato Stream Deck profiles with buttons, icons, colors, dials, and shell scripts from natural language prompts.

A MCP server that enables AI assistants to control Android devices via ADB, supporting device info, screen control, input simulation, app management, shell execution, file transfer, and UI parsing.

Enables the execution of AppleScript and JavaScript for Automation (JXA) on macOS to control applications, system events, and shell commands. It provides native automation capabilities with a security layer that permits most operations while specifically blocking file deletion commands.

Enables AI clients to check status, read non-secret settings, schedules, and subject rules, and—when explicitly allowed—update settings and existing subject rules. It also supports local diagnostic workflows while excluding passwords, credentials, arbitrary SQL, files, and shell commands.

Slim OPNsense MCP Server — 62 tools for managing firewall infrastructure via the OPNsense REST API. Covers DNS/Unbound, Firewall rules, Diagnostics, Interfaces, DHCP (ISC + Kea), System/Backups, ACME/Let's Encrypt, and Firmware. No SSH, no shell, API-only with 3 runtime dependencies. AGPL-3.0 + Commercial dual-licensed.

Enables AI assistants to read and control a connected Android device over adb or a local root shell, with tools for screen inspection, tapping, typing, swiping, launching apps, and system commands.

A Model Context Protocol server that provides Android Debug Bridge functionality for automating Android devices, enabling remote device management, screen operations, app management, file operations, and shell command execution.

Enables an AI agent to drive an Android app under development on a local emulator or connected device through adb, observing the screen and performing taps, swipes, text entry, key presses, waits, screenshots, logcat and crash inspection. It is restricted to debug builds installed via Run in Android Studio, so agents can exercise only the app being developed.

MCP server that lets an AI assistant see and control an Android phone over ADB: screenshots, UI dump, tap, swipe, type, keys, open apps. Safety guards: device allowlist, sensitive-app block, raw shell off by default, rate limit.

Enables natural-language automation of LS-PrePost preprocessing and postprocessing by exposing tools that build and verify shell meshes, query nodes, parts and connectivity, run native commands, SCL and in-application Python, and read d3plot/binout results through pluggable backends. Every job runs in its own directory and returns an ID, status, log and artifacts, so results stay traceable and failures are never silently reported as success.

Lets an AI agent drive a browser-based CAD application by forwarding tool calls to the page's own modeling registry, so it can open documents, run programs, select geometry, load skills, and capture screenshots. Also exposes the same tools through a CLI for agents that only have a shell.

Gives AI agents vision and control over Android devices using ADB and scrcpy, enabling screenshots, input gestures, app management, UI automation, shell commands, file transfer, and audio/video streaming.

Enables AI agents to perform narrow, validated Fritzing engineering operations — searching parts, inspecting connectors, placing and moving components, wiring, validating, rendering, and saving projects — through a strictly sandboxed server that exposes no shell, arbitrary filesystem access, or direct Fritzing control, with lifecycle gating and a part trust model enforcing validation before render and save.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling them to capture screenshots, tap, swipe, type, launch and manage apps, inspect UI elements, stream audio and video, transfer files, and run shell commands. Input and screenshots run over a fast binary control protocol when a session is active, with ADB fallback so interaction keeps working without scrcpy.

A robust task scheduler server for scheduling and managing various types of automated tasks including shell commands, API calls, AI tasks, and reminders.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling screenshots, taps, swipes, typing, app and UI automation, file transfer, shell commands, and audio/video streaming. Works with any MCP-compatible assistant and falls back to ADB-only interaction when scrcpy is unavailable.

Enables AI clients to list, create, update, run, pause, resume, and delete scheduled shell-script jobs, pass inputs, and read job outputs and message feed entries.

Gives AI agents vision and control over Android devices via ADB and scrcpy, enabling screen capture, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, audio/video streaming, and clipboard access.