"How to deploy a web application" matching MCP servers:

A read-only MCP server that provides visibility into Parallels Remote Application Server infrastructure, policies, and sessions through the RAS REST API. It enables AI assistants to query site settings, published applications, and license status without performing any modifications.

Enables coding agents to deploy and manage game server containers on Edgegap, from creation through player connection, without manual API reference.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

Enables AI agents to deploy and manage Docker containers on your own machine via MCP tools, providing public HTTPS URLs through free Cloudflare quick tunnels.

Enables control and management of Coolify self-hosted PaaS instances, allowing you to deploy applications, manage databases, monitor servers, and execute operations directly from AI assistants.

Enables AI coding agents to manage cloud containers, create and edit files, run commands, and deploy projects directly.

Enables AI assistants to deploy and manage applications, databases, object storage, VMs, DNS, and infrastructure on the Liara cloud platform through natural language commands.

MCP server for managing Pterodactyl game panel resources (users, servers, nodes, locations, etc.) via the Application API.

An AI-powered containerization assistant that helps you build, scan, and deploy Docker containers through VS Code and other MCP-compatible tools.

Enables managing Pterodactyl Game Panel servers via Client and Application APIs, including power actions, files, databases, backups, schedules, and administrative operations.

Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.

A simple MCP server that allows accessing and executing shell commands on a VM machine through a web-based terminal interface, with automatic tunneling to make the VM accessible from anywhere.

MCP server for building and driving VMware Workstation VMs from an AI agent, enabling unattended OS installs, guest command execution, file transfer, screenshots, and fleet management.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

Enables agents and humans to lease exclusive Android emulator sessions for bounded periods via MCP or HTTP, with a live web UI for watching or taking over active sessions.

A powerful, lightweight Model Context Protocol (MCP) server built in Python that enables Artificial Intelligence assistants (Claude Desktop, Cursor, Antigravity, Claude Code, etc.) to manage and monitor your Proxmox VE cluster using natural language.

Enables coding agents to deploy Next.js apps and provision Postgres, Redis, MinIO, NATS, Mailpit, and nginx locally via Docker without requiring Vercel or Supabase signups, using a single account and reading logs from the same environment.

Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.

Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.

A Model Context Protocol server that enables natural language control of Ludus cybersecurity training environments, allowing users to deploy, manage, and configure virtualized security training ranges.