"How to execute local shell commands" matching MCP servers:

A secure server that enables AI applications to execute shell commands in specified directories, supporting multiple shell types (bash, sh, cmd, powershell) with built-in security features like directory isolation and timeout control.

An MCP server to run commands.

An enhanced MCP server that grants AI assistants the ability to execute terminal commands on a user's system with improved security controls, designed for use in controlled environments.

Enables AI assistants to execute predefined developer commands and manage long-running processes through a JSON configuration file. Supports both one-shot commands and daemon processes with automatic process lifecycle management.

An MCP server that enables secure execution of shell commands across Windows, macOS, and Linux with built-in whitelisting and approval mechanisms for enhanced security.

A secure MCP server for shell operations, terminal management, and process control, enabling AI assistants to safely execute commands and manage interactive sessions.

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.

Provides a secure environment for executing shell commands with restricted directory access and timeout enforcement. It includes tools for running commands, managing execution history, and isolating environment variables.

Enables AI agents to execute shell commands on a host macOS computer with configurable file access permissions, granting access to credentials and tools while enforcing sandbox restrictions.

Enables execution of bash commands with support for timeouts and background jobs, allowing file operations, build commands, system inspection, and long-running tasks.

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

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Enables ChatGPT to securely access local files, shell commands, processes, Skills, and external MCP servers through a controlled local bridge with lock/unlock permissions and a Windows desktop control center.

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 Model Context Protocol server that enables users to execute arbitrary shell commands through a terminal tool. It supports custom working directories, configurable execution timeouts, and safe command parsing using shlex.

A lightweight MCP server that provides AI assistants with access to a system's terminal through a secure terminal tool. It enables users to execute shell commands and receive stdout, stderr, and exit codes directly within an MCP-compatible client.

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.

Provides a local MCP bridge for AI assistants to control a Mac by observing screen state and performing actions like mouse movement, clicking, typing, and opening URLs.

Enables AeyeStudio AI chat to securely access and control local PC resources such as files, Excel, clipboard, apps, and shell through a localhost MCP agent with user approval.

Enables ChatGPT in Chat mode to read and write local files, view the screen, and control the macOS desktop, with target locking and local permission controls.