"Automating Testing and Debugging for LLMs in Production" matching MCP servers:

An enterprise-grade management tool that enables Claude Code to securely interact with Proxmox VE for full VM and LXC container management. It provides single-command installation and comprehensive security controls for production-ready deployments.

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.

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.

A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.

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

Enables LLMs to manage Kasm Workspaces sessions, including creating, destroying, pausing, resuming, screenshotting, dispatching commands, and sharing view-only links, with opt-in administration of users, groups, and registries.

MCP server providing emulator control for a loopback-only DOSBox-X QMP server, with tools for keyboard input, memory reads, screenshots, and state snapshots to complement Ghidra's GDB TraceRMI debugging.

Enables an LLM agent to control a Windows guest in VMware Workstation, including power and snapshot management, kernel debugging via KDNET or serial, real-time terminal access, file transfer, and console screenshots, with synchronized state across tools.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, and nodes, create/delete/describe pods, inspect namespaces, and retrieve logs for debugging.

Connects to a Kubernetes cluster through the current kubectl context and enables listing, creating, deleting, and describing pods, services, deployments, nodes, and namespaces, plus retrieving logs for debugging.

Enables connecting to a Kubernetes cluster through kubectl context to list and manage pods, services, deployments, nodes, and namespaces, create or delete pods, describe pods, and retrieve logs for debugging.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, nodes, and namespaces, including creating, deleting, describing pods and retrieving logs for debugging.

Enables connecting to a Kubernetes cluster to manage it, including listing pods, services, deployments, nodes, and namespaces, creating and deleting pods, describing pods, and retrieving logs for debugging.

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

vnc-mcp allows MCP-compatible LLMs to interact with any desktop accessible over VNC

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.

Enables LLMs to remotely control VirtualBox VMs and Playwright browsers on Windows, including VM lifecycle actions, in-guest commands, browser automation, window management, and service monitoring via REST API and MCP.

Enables time-travel debugging for AI agent sandboxes using Firecracker microVMs, with tools for code execution, file operations, and VM snapshot/restore via MCP.

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

Enables running ephemeral Kubernetes Jobs/pods with caller-chosen images and commands, returning results and artifacts while automating cleanup. Supports synchronous and background execution, repository cloning, and strict security controls.

Enables read-only inspection and confirmed mutation operations on a single VPS over SSH, including host health, Docker, Compose, Swarm, firewall, and system debugging tools.

An MCP server that gives an LLM full control over a VMware-hosted Windows VM: lifecycle, snapshots, remote execution, file transfer, and kernel debugging.

Enables LLMs to safely execute code in isolated Docker containers with resource limits and security controls, supporting session management and automatic dependency installation.

A production-ready Model Context Protocol (MCP) server that provides comprehensive DockerHub integration for AI assistants. This server enables AI assistants to search, analyze, and manage Docker images through standardized MCP tools.

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

A Model Context Protocol (MCP) server that provides safe, read-only access to Kubernetes resources for debugging and inspection. Built with security in mind, it offers comprehensive cluster visibility without modification capabilities.

Enables LLMs and MCP-compatible clients to manage a Dokku instance through tools, resources, and prompts for applications, deployments, logs, datastores, domains, HTTPS, access, and server logs.

Enables users and LLMs to execute Python code, install packages, run terminal commands, and upload files in isolated Docker containers, returning outputs and HTTP links to generated files through an SSE interface.

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

Enables users to list GKE clusters, describe virtual machines, and retrieve billing information through MCP read tools, without applying production changes.

An interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.

Docker Helper MCP server that provides tools for automating Docker tasks such as generating Dockerfiles, parsing docker-compose files, and optimizing images.

Enables LLMs to interact with Cisco Intersight APIs for managing data center infrastructure, including server monitoring, policy management, network configuration, and hardware telemetry across 199 tools.

Enables natural language management of Docker containers, images, networks, and volumes with support for both local and remote Docker engines. Features automated container composition, debugging capabilities, and persistent data management through an intuitive conversational interface.

Enables network configuration, connectivity testing, and routing management for ContainerLab Linux containers through an MCP interface.

Exposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.

Enables interaction with Google Kubernetes Engine (GKE) to list clusters, manage node pools, and retrieve server configurations. It includes automated scripts for deploying and testing sample applications across multiple GKE Autopilot clusters.

A demonstration MCP server that simulates server management actions for Contabo and Hetzner using FastAPI. It provides a mock environment for testing request routing and provider-based service modules without requiring live API credentials.

Enables AI assistants to manage Unraid OS via Docker, system calls, and file system access for automating array, share, and container operations.