"Full Stack Web Application Development" matching MCP servers:

Enables AI agents to control the H3C HCL network simulator through MCP, including creating topologies, adding/starting devices, wiring links, reading console output, and running CLI commands.

Enables AI assistants to inspect and manage OpenStack clouds through 16 tools for servers, security groups, volumes, floating IPs, networks, backups, and safe preview-confirmed actions.

Enables interaction with VMware vCenter 8.0 REST API via a reverse proxy, providing read-only and write tools with dry-run protection and automatic session management.

An MCP server that gives LLMs direct control over a local Docker daemon, enabling container, image, volume, network, and Compose stack management through natural language.

A powerful Model Context Protocol (MCP) server for Docker operations, enabling seamless container and compose stack management through Claude AI.

Serves as a personal MCP hub for development, detecting the current stack and monorepo root, managing Docker Compose actions, querying Context7 documentation, and interacting with Nexus, while also forwarding tools from optional external MCP servers.

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

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

DockaShell is an MCP server that provides AI agents with isolated Docker containers for persistent shell access, file operations, and full audit trails, enabling autonomous development and self-evolving workflows.

MCP server giving AI assistants full control of a Proxmox homelab, enabling management of VMs, containers, Docker projects, media stack, and monitoring via natural language.

MCP sidecar server that exposes Dockhand's container, image, volume, network, and stack management as MCP tools over Streamable HTTP, enabling MCP clients to manage Docker resources through Dockhand's REST API.

Enables self-hosted, per-panel access to Pterodactyl Application and Client APIs for managing servers, users, nodes, files, backups, schedules, and console output, with writes gated behind operator enablement.

MCP server for generating and configuring development containers from devcontainer.json files, enabling management of devcontainer environments through tools like devcontainer_up, devcontainer_exec, and cleanup.

MCP server that turns natural-language requests into configured n8n workflows and safely operates a local n8n Docker stack, including workflow management, API access, and Docker lifecycle operations with confirmation-based safety.

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

Exposes the Dockhand Docker management API as tools for LLMs, enabling container, stack, image, volume, and network management via natural language.

This MCP provides comprehensive tools and resources for MSX software development, testing, and automation through openMSX emulator.

A middleware service that allows LLMs and AI assistants to directly interact with the Dokploy platform through a standardized interface, providing access to Docker, project, and application management capabilities.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

Enables AI-assisted DevOps by exposing scoped, role-based tools to inspect and remediate a Docker app stack, with audit logging and allow-listed commands for safe incident response.

Enables managing Docker containers and Portainer resources through natural language, supporting stack deployment, container operations, and environment monitoring.

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.

More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.

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 assistants to automate DDEV development environments, including project management, database operations, and executing commands for various CMS frameworks.

Gives AI assistants full control over a VPS via SSH, enabling command execution, file management, service control, Docker and firewall management.

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 AI assistants to interact with DDEV local development environments by querying databases, managing project states, and executing container commands. It provides comprehensive control over local services with a security-first approach using whitelisted operations.

A Model Context Protocol server that enables AI clients to interact with virtual Ubuntu desktops, allowing them to browse the web, run code, and control instances through mouse/keyboard actions and bash commands.

Enables Claude to monitor and manage homelab infrastructure including Docker containers, OPNsense firewall, and TrueNAS storage with configurable capability levels from read-only monitoring to full management control.