"Transferring a Dockerized Website from Local to Remote Server Using Cursor AI" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

An MCP server wrapping the Cursor CLI agent, enabling Claude Code and other MCP clients to delegate tasks to Cursor's AI agent for file writing, bash commands, and codebase queries.

A minimal, containerized MCP server that exposes a Streamable HTTP transport with API key authentication, allowing secure access to MCP endpoints.

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.

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 natural language management of MikroTik routers through Cursor IDE by translating requests into RouterOS commands via API or SSH.

Enables Grok Bot to securely communicate with a local Cursor Agent CLI through an OAuth-authenticated MCP gateway, exposing exactly two tools for asking questions and checking status.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Execute commands on remote Linux servers through Claude with an interactive web terminal showing full output while Claude receives smart-filtered summaries for token efficiency. Supports multi-server management, SFTP file transfers, batch scripts, and automation recipes.

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.

A local Python MCP server that provides basic tools like greet, add_numbers, and system_info, designed for process-based connections via stdin/stdout.

Connects Windows-based Codex to the Cursor Agent CLI in WSL, providing a run_cursor tool to execute tasks in specified working directories and resume sessions per directory.

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

Enables cloud-based MCP clients to delegate privacy-sensitive or large-output tasks to a local LLM, returning sanitized placeholders or digested summaries so private data never leaves the user's network.

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

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

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.