"MCP SSH Reloaded - SSH Server/Tool for Model Context Protocol" matching MCP servers:

Enables AI agents to safely access and administer remote machines over SSH using existing OpenSSH config, with typed tools for running commands, reading and writing files, listing directories, and retrieving file metadata.

MCP server for remote Linux/Unix server management via SSH, enabling command execution, system monitoring, file operations, and diagnostics through natural language.

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.

轻量级跨平台 SSH MCP 服务器，复用本地 SSH 配置实现远程命令执行、文件传输和主机管理。

Enables secure SSH connections to multiple remote servers with support for command execution, file transfers (SFTP), directory listing, and both password and key-based authentication.

Enables reading, writing, editing, searching, running commands, transferring files, and using git on a remote Linux server over SSH via MCP tools.

A powerful Python-based Model Context Protocol (MCP) server that enables AI assistants to manage remote Linux machines over SSH directly from your chat interface.

Enables SSH operations including connecting to remote servers, executing commands, and transferring files between local and remote systems. Supports multiple SSH connections with both password and private key authentication methods.

Enables AI assistants to manage SSH connections, execute commands, and transfer files via SFTP over the Model Context Protocol.

Enables coding agents on Windows clients to operate on Unix file servers through one long-lived SSH session per host, running exec/view/create/edit/grep/glob with POSIX paths and shell state (cd, env) persisting across calls. Bypasses slow or flaky SMB/CIFS mounts entirely, giving native-speed file operations without drive letters or remounts.

Enables running commands and uploading or downloading files on multiple preconfigured remote servers through stdio MCP, using password or private-key authentication and host-key trust policies. No local Go, ssh, or scp installation is needed, with prebuilt binaries selected automatically across macOS, Linux, and Windows.

Enables executing shell commands and transferring files on remote machines over SSH/SFTP, including persistent interactive sessions that can handle prompts such as sudo and package manager confirmations.

MCP server for managing multiple SSH servers via AI assistants, offering tools for remote command execution, file operations, and system monitoring.

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.

Lets MCP-capable AI clients run commands and manage files on remote machines over SSH without installing anything remotely.

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 remote command execution and SFTP file upload or download from any MCP client without a local SSH client, SCP, or PuTTY installed. Supports password or private key authentication with SHA256 host fingerprint verification, timeouts, output limits, and multiple configured server instances.

Bridges VS Code on Windows with remote Linux servers via SSH, enabling AI assistants to interact with remote development environments.

Enables Claude to connect to servers via SSH, execute commands, transfer files, and manage connections through natural language.

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.