"Understanding the Concept of Sequential or Sequential Processes" matching MCP servers:

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 LLMs to create and manage persistent, interactive shell sessions with full terminal emulation and PTY support. It allows for sequential command execution and supports interactive programs like vim or htop through specialized streaming and snapshot output modes.

Enables an AI agent to inspect which process is listening on a local port and safely plan, confirm, and verify termination of that process across platforms.

Enables an MCP client on macOS to control a paired iPhone over Wi-Fi or USB through system developer services, without any app installed on the phone. Exposes tools for device discovery and connection, fresh screenshots, taps, drags, Home, app listing and launching, and Unicode text entry.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.

A TypeScript-based server that enables programmatic management of pseudo-terminal sessions. It allows users to spawn, control, and interact with terminal processes in real-time through the Model Context Protocol.

Enables AI agents to capture and analyze screenshots of macOS applications, windows, or the entire screen using local (Ollama) or cloud-based AI vision models, with non-intrusive, fast screen capture via Apple's ScreenCaptureKit.

Let an AI agent read, write and scan the memory of running processes on Windows, Linux and macOS, Cheat Engine style: value scans, refinement and pointer chains.

See which process holds a local port and who started it, find free ports, wait for services, and stop a dev server safely. Fixes "port already in use" (EADDRINUSE) for AI coding assistants. Never stops system processes; Docker and WSL ports get the right stop command. Run with: npx -y portcheck-cli mcp

Enables interaction with long-running interactive programs such as SSH, GDB, and REPLs. Provides tools to start, monitor, control, read/write I/O for these processes.

Made for Amiga development: an AI agent builds on the PC and tests on a real Amiga (AmigaOS 2.04+, any 68000) or FS-UAE over the network. Run commands, copy files, take screenshots, drive mouse and keys, click buttons and pick menus by name (MUI, ReAction, GadTools), wait for windows instead of guessing, send ARexx, and check a PiStorm’s temperature or the last crash. 30 tools.

Enables an AI agent to safely observe and operate a Mac, starting read-only with optional read-write and admin tools for files, processes, apps, shell, AppleScript, and GUI control behind explicit permissions and human approval.

Self-hosted Linux administration over MCP: 38 tools for processes, disks, network, systemd, journal and files, served over HTTPS. Each call runs as the caller's own OS user; root is granted per tool, limited to paths, networks and sysctl keys.

Enables agents to inspect ROS topics, processes, tmux sessions, and logs, and to perform operational actions such as sending tmux commands, restarting services, executing commands in containers, and running SSH remote commands.

Enables AI coding agents to monitor host CPU, RAM, GPU/VRAM, inspect and free locked ports, and clean orphaned background processes through MCP tools.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Enables general-purpose Windows desktop automation via MCP tools: opening applications and URLs, taking screenshots, checking whether processes are running, and waiting.

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

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.

An MCP server that allows checking local time on the client machine or current UTC time from an NTP server

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

A task manager's view of a Windows or Linux PC for AI assistants: processes, per-core CPU and who ran on it, disks and the files they serve, network connections and DNS lookups, GPUs, sensors, services, stutters and a 7-day history. Actions (ending or suspending processes, controlling services, memory dumps) are allowed kind by kind, and it runs locally over stdio or on 127.0.0.1 only.

Enables executing shell commands without permission prompts, including running commands and managing background processes.

Enables an LLM agent to search files, list directories, read and write UTF-8 text files, move or delete paths, list terminal processes, and launch a terminal in a chosen folder.

Enables AI agents to safely query and manage Windows services, processes, event logs, and system information, with write actions disabled by default.

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.

An automation tool for macOS that uses AppleScript and JXA to manage Discord server setups through AI assistants. It enables the creation and configuration of servers, channels, roles, and settings using pre-built templates or custom commands.

Enables read-only Linux system diagnostics and troubleshooting on RHEL-based systems, including system info, services, processes, logs, network, and storage analysis. Supports both local and remote SSH execution across multiple hosts.

Provides Ubuntu system information (CPU, memory, disk, network, services, processes) to Bob via natural language queries.

An MCP server that enables remote observation and control of a Chromium browser via a WebSocket relay, supporting DOM, CDP, and native OS automation for local or LAN-based AI agents.

An MCP server that allows secure execution of macOS terminal commands through Claude or Roo Code with built-in security whitelisting and approval mechanisms.

This server enables AI agents to execute terminal commands, manage running processes, and interact with the host's filesystem and system configuration. It supports complex operations such as code execution, file searching, and surgical data editing.

Enables AI assistants to identify processes listening on specific network ports by returning process names and PIDs. It provides infrastructure introspection capabilities through the Linux ss command to help users monitor and debug local services.

Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.

Enables AI agents to administer a local Windows machine by listing and controlling services, processes, event logs, ports, network lookups and system diagnostics through sharply typed tools. A built-in web interface lets the operator switch every tool on or off individually, with least privilege as the default.

A comprehensive MCP server for Frida dynamic instrumentation, enabling AI agents to manage devices, processes, scripts, memory, and ADB operations.

Gives AI agents direct hands-on access to physical hardware and host OS resources over local stdio: serial monitoring with crash-dump detection, firmware compile/flash via arduino-cli, PlatformIO, ESP-IDF and esptool, direct GPIO/I2C/SPI over FTDI bridges, BLE GATT operations, webcam or microscope snapshots, logic analyzer captures, audio recording and test tones, GUI screenshots and hotkeys, and Android ADB commands. It also helps diagnose toolchain and serial-permission problems and identify or terminate processes that lock a port.

A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.

This server enables AI agents to operate Windows and Linux computers by observing the screen, understanding the UI through accessibility, OCR, and vision, and performing mouse, keyboard, window, clipboard, and system actions with verification and recovery.