"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.

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 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.

Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.

A Node.js/TypeScript MCP server that facilitates interactive communication between LLMs and users, allowing AI assistants to request user input, display notifications, and manage command-line chat sessions.

Runs commands on machines you cannot SSH into by publishing steps to a transport the far side already reaches (git, file share, S3, relay), then reads back a log with every line timestamped in UTC. Seven tools cover send, status, logs, stall detection and a pre-flight check.

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 with support for PowerShell, CMD, Git Bash, and WSL shells, providing controlled file access, command execution, and configurable security restrictions.

Gives mobile AI assistants a real local command-line workspace and manages Cloudflare resources (Pages/D1/KV/R2) via REST or wrangler, with credentials remaining on-device.

Command line interface with secure execution and customizable security policies

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 server that enables Claude to access and search through command-line journal entries, offering features like searching entries, listing tags, and viewing journal statistics.

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 flexible MCP server that enables users to define and execute arbitrary command-line tools through secure, JSON-based configuration files. It features parameter sanitization, directory scoping, and execution controls to safely integrate CLI utilities with Claude Desktop.

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.

Enables AI agents to execute and interact with terminal commands through MCP, supporting command-line operations and workflows.

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.

Bridges ChatGPT with local computer for controlled file and project management, featuring session-based collaboration and diff tracking.