"How to create a remote directory" matching MCP servers:

Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables AI assistants to manage remote servers via SSH with agentless command execution, file operations, and service management.

Enables AI clients to manage remote Linux workspaces over OpenSSH, including file read/write/edit, glob/grep search, shell command execution, and background job management, with authentication handled interactively in a terminal.

Connects an MCP client to a remote Linux/Unix host over SSH, enabling remote shell commands, file access, port forwarding, and VS Code Remote-SSH URI generation.

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.

An MCP server that lets you execute commands, manage files, run persistent shell sessions, transfer large files, and control background processes on remote machines via a lightweight HTTP agent, useful when SSH/WinRM/SMB are unavailable.

Enables executing commands on remote SSH hosts, with full support for bastion/jump hosts and ~/.ssh/config, plus Slurm job management and rsync.

Enables AI services like Claude and Cursor to remotely control a Mac by executing shell commands, managing files, and running AppleScript for UI automation. Access is secured through OAuth 2.0 authentication and encrypted tunnels to protect remote interactions.

Enables AI agents to remotely control multiple devices registered to the same account, executing system commands via the Remote Control Assistant desktop bridge.

Enables AI assistants to securely connect to and execute commands on a remote Linux server via Cloudflare Tunnel, with bearer-token authentication.

Enables secure remote development on Windows by allowing LLM clients to manage files, run commands, and automate browsers within sandboxed workspaces, with multi-project switching and OAuth authentication.

Enables secure remote workspace management over SSH, supporting file operations, shell commands, and profile configuration for agent-safe remote code environments.

Enables remote shell control of Linux and network devices via SSH/Telnet, with session management and file transfer capabilities.

Enables AI assistants to execute SSH commands and transfer files to and from remote servers, supporting remote server management and seamless session transfer to a VPS.

Enables AI tools like Claude to interact with a remote machine's file system and shell via a secure HTTPS endpoint. It provides standardized tools for executing shell commands, reading and writing files, and navigating directories.

Enables Claude to execute commands and manage directory-aware panes within tmux sessions for a shared terminal experience. It features smart output capture, interactive prompt detection, and background task management.

Enables remote command execution on SSH hosts (NAS, Linux, VPS) through an HTTP+SSE server, allowing users to run shell commands and receive results via the ssh.exec tool.

Enables AI agents to securely control a remote Windows/Linux PC via MCP and REST, executing shell commands and driving coding-agent CLIs like Claude, Cursor, and Codex.

An MCP (Multi-Agent Conversation Protocol) server that enables interaction with Google's Managed Service for Microsoft Active Directory through its OpenAPI, allowing users to manage identity resources through natural language.