"Shell" matching MCP servers:

Provides direct, unsandboxed local machine access via filesystem, Python, Node.js, and shell commands for MCP agents.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

A secure MCP server for executing whitelisted shell commands with resource and timeout controls, designed for integration with Claude and other MCP-compatible LLMs.

Gives AI agents shell access by providing a run_command tool for executing shell commands and returning stdout, stderr, and exit code.

An MCP server that executes shell commands and intelligently compresses, filters, and extracts errors from verbose output to save AI agent context windows. It strips ANSI, collapses repetitive lines, and always preserves error information.

Enables secure execution of shell commands via MCP with multiple security layers including command whitelisting and directory restrictions.

Give hands to AI. MCP server to run shell commands securely, auditably, and on demand.

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.

Enables AI agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.

Enables agents to interact with CLI applications like vim, htop, and gdb by sending key inputs and capturing terminal output through tmux sessions.

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.

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.

MCP server enabling AI assistants to securely operate remote servers via persistent SSH sessions, with tools for command execution, file transfer, directory listing, and system monitoring.

Enables AI assistants to execute shell commands and manage long-running processes within persistent tmux sessions across isolated workspaces. It features a dual-window architecture to separate raw command execution from interactive terminal output.

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

Maps shell commands to standard MCP tools using single-file YAML specs.

A server that uses the Model Context Protocol (MCP) to allow AI agents to safely execute shell commands on a host system.

Enables secure execution of whitelisted shell commands through MCP, with support for stdin input, timeout control, and comprehensive output including stdout, stderr, and execution time.

A Node.js implementation of the Model Context Protocol that provides secure shell command execution capabilities, allowing AI models like Claude to run shell commands in a controlled environment with built-in security measures.

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.