"Exploring Operating Systems, Shells, and Command-Line Tools" matching MCP servers:

This server enables Claude to execute shell commands, read and edit files, and perform git operations on the host machine via a remote MCP endpoint.

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.

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 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 AI to execute registered system commands across platforms using a stable program + args interface, without requiring shell-specific syntax or tool discovery.

An MCP server that enables AI clients to execute shell, Python, and Node commands on the local machine across platforms.

Generates and manages slash commands for AI coding assistants like Claude Code and Cursor, supporting both interactive CLI and programmatic MCP access.

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

Demonstrates deceptive tool naming and unsanitized shell execution by exposing tools that perform OS fingerprinting and run local system commands through MCP. Intended for security research on vulnerabilities in the MCP ecosystem.

An MCP server that provides session-based shell command execution and file management with intelligent LLM-powered summarization. It enables users to manage isolated workflows and track progress through automated event logging and session history.

A Model Context Protocol server that allows secure execution of pre-approved commands, enabling AI assistants to safely interact with the user's system.

Turns any verb Registry into a real MCP server, where each verb becomes an MCP tool with its own Zod input/output schemas (zero drift).

Enables AI agents to verify Ceph CLI commands, config parameters, and review test scripts using a pre-generated knowledge base.

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 MCP server that enables AI assistants to execute commands on remote servers via SSH, with cross-platform support and features like encrypted config storage, connection management, and security controls.

A passive MCP server that exposes a toolbox of executable tools (shell, network, HTTP, AI search, SSH, S3 file operations) to autonomous agents via Streamable HTTP, with strong security features including Docker sandboxing and WAF.

Enables coding agents to perform file, search, patch, git, process, test, package, network, and system operations through 60 typed MCP tools with structured inputs/outputs, structured errors, and a full event journal, replacing terminal use with a typed machine API.

Enables ChatGPT Web to discover and invoke native local Codex tools via OpenAI's Secure MCP Tunnel, with the local host executing commands and returning results.

Enables shell command execution with automatic pagination for large outputs, supporting custom directories and timeouts.

Enables AI agents to turn local projects into persistent workspaces, providing file editing, command execution, Git integration, and cross-session history management.