"Overview of Command Line Interface Usage" matching MCP servers:

Enables execution of shell commands, directory navigation, and interactive program automation through an enhanced command-line interface. Provides tools for running commands, managing working directories, and handling interactive programs using expect/send sequences.

A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.

Allows AI assistants to safely execute common Unix/macOS terminal commands through a controlled interface with comprehensive security features.

A proxy server that enables AI assistants to run and interact with command-line applications like Expo through the Model Context Protocol (MCP), capturing logs and allowing keypress forwarding.

Enables executing bash commands with foreground/background support, timeouts, environment control, and OpenTelemetry observability.

A Model Context Protocol server that enables remote execution of shell commands across different operating systems, automatically handling platform-specific differences between Windows and Unix-like systems.

Provides tools for executing shell commands both synchronously and asynchronously with real-time output streaming and process management capabilities. It enables users to start background tasks, monitor progress, and manage long-running processes via Stdio or HTTP transports.

A secure Model Context Protocol server that allows AI assistants to execute terminal commands with controlled directory access and command permissions. It features a robust security architecture including whitelisting, session IDs, and categorized command levels to ensure safe system interaction.

Provides safe, controlled access to network and system diagnostic tools including ping, nmap, dig, traceroute, curl, and whois for troubleshooting connectivity, scanning ports, and performing DNS lookups through whitelisted commands with security validation.

Command line interface with secure execution and customizable security policies

Provides comprehensive PC control capabilities including file operations (read, write, edit, delete), directory management, file search, and shell command execution through the Model Context Protocol.

An MCP server that lets AI assistants manage an OpenMediaVault NAS over SSH using OMV's own RPC interface, covering disks, filesystems, shares, users, S.M.A.R.T. health, services, and configuration changes. It exposes a small set of generic tools to discover and call RPC methods, plus optional shell access.

Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.

Enables AI agents to query Windows process, window, and console information via structured JSON instead of screenshots, reducing token usage by 94-98%.

Enables AI agents to interact with the Linux desktop through desktop notifications, interactive dialogs, shell command execution, and privileged command execution.

Enables secure remote Linux/Unix server management over SSH/SFTP, including command execution, system inspection, file editing, and service control.

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.

Enables searching Mercadona Online products and reading or carefully updating a user's cart via the Model Context Protocol from the command line or ChatGPT Web.

Enables SSH remote command execution, passwordless key management, Windows Session 0 desktop process launching, and SFTP file transfers across Windows, Linux, and macOS.

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.