"A guide on how to deploy a web app" matching MCP servers:

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.

A FastMCP server for managing and deploying applications on Linux systems. It provides a secure interface for running system commands, managing packages, and deploying containerized applications.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

MCP server that provides AI access to a local terminal, enabling command execution, directory navigation, and system operations with persistent session state.

Local MCP server bridging ChatGPT Web to local tools for file, shell, git, test, and process management with secure policy controls.

Connects ChatGPT Web to a local development environment, enabling file reads and patches, shell execution, plan updates, and isolated worktree coordination through permissioned MCP tools.

Enables local code execution via Codex (Luna) through MCP, using ChatGPT Web conversations as a planner. Provides file, terminal, and code execution tools while keeping long-running jobs manageable.

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.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

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.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

Enables AI assistants to interact with serial port devices by sending commands, capturing output, and managing connections, with real-time browser-based terminal monitoring.

Embeds a self-hosted VS Code workbench in an MCP App, enabling collaborative editing, terminals, diagnostics, and commands in a shared workspace.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

An MCP server that enables users to execute arbitrary shell commands on their local machine and receive the output. It provides a terminal tool for running system commands through MCP-compatible clients using the Python SDK.

MCP server for running shell commands on a Linux development board via UART serial.

Enables file operations and bash command execution on the local workspace, securely exposed to ChatGPT via OpenAI Tunnel.