"Architecture for automating quality assurance with services" matching MCP servers:

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 open-source MCP server for managing Proxmox environments, including nodes, virtual machines, and containers. It enables users to perform inventory checks, status monitoring, and control operations directly through MCP-compatible tools.

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.

An MCP server for automating virtual or physical Android devices using the Gbox SDK. It enables users to manage app installations, capture screenshots, and perform complex UI actions through natural language instructions.

Enables running arbitrary JavaScript code in isolated Docker containers with on-demand npm dependency installation, allowing for ephemeral script execution and long-running services with controlled resource limits.

Provides MCP tools for setting up and managing Hephaestus development environment with Docker containers, including starting/stopping services, initializing databases, and troubleshooting.

MCP server for managing Docker containers, images, and Compose services via natural language, with configurable tool permissions and safety annotations.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

An AI-powered MCP server for managing Docker infrastructure, enabling creation, deployment, and lifecycle management of containerized services with automated DNS and SSL.

Enables AI assistants to interact with Kubernetes clusters through 50 specialized tools for comprehensive cluster management. Supports both local kubectl and remote SSH-based execution for managing pods, deployments, services, and other Kubernetes resources.

TypeScript implementation of Kubernetes cluster operations for pods, deployments, services.

Enables AI agents to control GNS3 network emulation labs. Supports building topologies, managing devices, capturing packets, and automating device CLIs.

Enables interaction with the CoreHub cloud platform to manage containers, EPFS filesystems, distributed training, and inference services through MCP tools.

Enables safe operation of Pterodactyl panel services through AI-driven monitoring, log and crash analysis, cross-server incident investigation, and selective remediation with approval workflows and automatic rollback.

Free, cross-platform VM orchestration for AI workflows with built-in MCP integration, sandboxed code execution, and compliance-ready architecture (SOC 1/2/3, HIPAA, ISO 27001).

Transforms idle LAN machines into a unified compute cluster for AI agents to offload CPU-intensive tasks like simulations and backtesting. It provides a broker-worker architecture that integrates with MCP-compatible tools to distribute workloads across a local network.

Lets AI agents inspect Kubernetes clusters in plain English, exposing read-only tools for pods, deployments, services, events, and logs, with mock and real backend support.

Enables AI agents like Mistral Work to manage Hetzner Cloud VPS services in natural Spanish, including creating, modifying, and deleting servers, networks, firewalls, and storage, as well as automating complex tasks.

Extensible MCP server for managing a homelab from Claude AI, enabling control of VMs, snapshots, services, and files via natural language.

Provides unified access to multiple homelab services including Nginx Proxy Manager, Pi-hole, Uptime Kuma, Portainer, and UPS NUT for monitoring, management, and automation through a single modular interface.