"LINE" matching MCP servers:

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.

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

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.

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.

Command line interface with secure execution and customizable security policies

A Model Context Protocol server that provides secure command-line access to Windows systems, allowing MCP clients like Claude Desktop to safely execute commands in PowerShell, CMD, and Git Bash shells with configurable security controls.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

A command-line interface server that provides unrestricted system access to Windows environments with SYSTEM-level privileges, allowing complete control over files, processes, and configuration settings.

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.

A lightweight Windows automation MCP server that scopes UI operations to a single target window, offering tools like ReadWindow, PeekWindow, Click, Type, Scroll, Screenshot, and App management with reduced token usage compared to full-desktop alternatives.

Enables comprehensive Windows process and service management with secure UAC elevation. Supports discovery, inspection, and control of processes by name, PID, or port number, with both AI-assisted and direct command-line interfaces.

A comprehensive toolkit that enhances LLM capabilities through the Model Context Protocol, allowing LLMs to interact with external services including command-line operations, file management, Figma integration, and audio processing.

Enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows across multiple sessions. Similar to how Playwright works for web browsers but for command-line interfaces.

MCP server for macOS native notifications with 67 AI brand icons and system sound support, enabling AI agents to send desktop notifications via one-line tool calls.

Enables reading and writing macOS system defaults and settings through commands equivalent to the defaults command-line tool. Supports listing domains, searching for settings, and modifying system preferences programmatically.

Enables MCP clients to access a local computer through a controlled, permission-based tool surface for read-only or developer-mode file, process, and terminal operations.

Enables secure command-line interactions on Windows systems through PowerShell, CMD, and Git Bash, with support for SSH remote connections, SFTP file transfers, system monitoring, and configurable security controls including command blocking and path restrictions.

A Model Context Protocol server that gives AI models access to your iTerm terminal session, allowing them to read output, write commands, and send control characters.

An AI-Native OS Core that enables LLMs to autonomously monitor, control, and optimize Linux systems with 200+ system control tools covering process management, security, containers, and self-editing capabilities.