"How to connect to a remote server using SSH" matching MCP servers:

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.

Enables AI coding tools to read, write, search, and list files on remote machines and run commands there, including background long-running jobs and TTY-based interaction, all through a single persistent SSH connection. Bypasses the cost of establishing a new SSH session on every call, cutting typical multi-step remote operations from seconds to milliseconds.

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.

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

The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.

A secure SSH-based MCP server for diagnosing remote servers. It allows AI agents to execute read-only commands and read files automatically, while requiring user confirmation for write operations.

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

MCP server giving AI agents full SSH access with persistent sessions, structured command output, SFTP file transfer, and port forwarding.

Enables persistent SSH sessions and SFTP file transfers with native GUI credential prompts for secure remote server management. It supports background command execution, session pooling, and automatic connection reuse across multiple commands.

Enables AI agents to inspect and manage remote hosts over SSH with tiered blast-radius containment that classifies and blocks destructive commands, plus forensic post-flight assertions that verify ports, processes, files, and HTTP health. It also provides long-running background task envelopes and atomic SFTP file editing with automatic backups, unified diffs, and one-click rollback.

Enables AI clients to run commands, read and write files, inspect status, and manage mounts on remote Linux servers over a standard MCP interface.

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.

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.

An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.

Enables LLMs to interact with remote servers via SSH, supporting command execution, file upload/download, and directory listing.

SSH MCP is a Model Context Protocol tool for managing and interacting with multiple virtual machines over SSH. It simplifies executing commands on remote servers using the standard SSH config file format.

Enables MCP clients to store encrypted SSH host credentials and execute remote commands over pooled SSH connections, including single commands, prompt-answering interactive runs, and multi-step playbooks. Hosts can be listed, created, updated, and deleted through tools, with credentials kept server-side and never echoed back.

Enables AI assistants to execute shell commands and transfer files via SFTP across remote servers using existing SSH configurations. It supports parallel execution on server groups and provides built-in safety warnings for potentially destructive commands.

Enables AI agents to establish and manage persistent SSH sessions, supporting smart command execution, async tasks, multi-host, sudo, and file operations through SFTP.