"Building a solid memory base for AI development" 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.

Enables MCP clients to control emulated and physical MSX computers through openMSX automation or a hardware agent, including screen reading, BASIC input, memory/VRAM access, file transfer, and documentation search.

MCP server that lets an AI agent manage Proxmox VE in natural language, with policy-driven security, read-only mode, two-step confirmations, and audit logging.

Dockerfile Generator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

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

A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

MCP server for securely discovering, pricing, renting, connecting, and releasing GPU compute instances from AI Galaxy with budget checks and two-phase approval.

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

Enables AI clients to manage Huawei eNSP simulated network devices, execute CLI commands, apply configurations, and perform network diagnostics through natural language, with topology upload and visualization via a web UI.

Enables interaction with VMware SDDC Manager through natural language, exposing tools to list domains, check health, manage hosts, and more.

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.

Enables users to query Azure HPC/AI Kubernetes clusters for GPU node information and InfiniBand topology details through kubectl commands. Provides tools to list GPU pool nodes with their status and retrieve network topology labels for high-performance computing workloads.

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.

MCP server to give every agent an ephemeral Linux sandboxes for executing shell commands.

Lets AI agents read what Kubernetes containers were doing right before they were OOMKilled or crashed: Java heap histograms and Go heap profiles taken before the kill, logs of the dead instance, and core dumps matched to the pod. Read-only tools to list captures, read summaries and raw evidence, and see which containers are near their memory limit now.

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

MCP server for managing Proxmox VE clusters — provision VMs and containers, manage snapshots and backups, execute commands, browse storage, and monitor resources through natural language

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.

An MCP server that gives Claude and other LLM agents programmatic access to EVE-NG network labs, enabling creation, configuration, and management of virtual network topologies through natural language.

Enables AI assistants to manage Docker containers and Kubernetes resources through natural language, supporting operations like container management, image building, and pod/deployment/service management.

Bridges AI agents to a DOSBox emulator, enabling control of DOS programs via MCP tools for typing, screen reading, video capture, Lua scripting, and memory access.

Enables AI-powered creation, configuration, and management of DevContainer environments using natural language prompts. Supports 11+ templates for popular development stacks and provides container lifecycle operations through VS Code, Cursor, or any MCP-compatible editor.

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.

A template MCP server that provides a basic structure and configuration for building Model Context Protocol servers. Includes Docker support, environment configuration, and examples for both STDIO and SSE transport modes.

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

Enables AI agents to control real cloud phones by reading screens as text, tapping, typing, installing APKs, handing off to humans, and parking devices to stop billing, without ADB or emulators.

Linux sandboxes for AI agents, each a Firecracker microVM. Run code, keep files, pause and wake with memory kept, snapshot and fork.

Enables a computer-use agent to see and drive one isolated, sandboxed Linux desktop by exposing Anthropic's computer toolset actions alongside launching apps and listing windows, with screenshots scaled to a 1280-pixel longest side. It runs as a stdio MCP server scoped to a single screen and authenticated by an agent token.

HTTP MCP adapter for requesting VMs and inspecting state. Part of the vm-forgeyard KVM control plane for test and development virtual machines.

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.

A multitenant Streamable HTTP bridge over Nutanix's Prism Central v4 API MCP server, enabling per-tenant credential forwarding and read-only tool operations.

Enables comprehensive DevOps infrastructure management through tools for Jenkins, Ansible, Terraform, Kubernetes, and Docker operations. Features a sophisticated memory system for context retention and provides validation, generation, and optimization capabilities across DevOps workflows.

AI-powered cloud development IDE, so you can run AI to surf in a secure sandbox environment.

Enables agents to manage and operate macOS VM workspaces through authenticated MCP tools, including lifecycle control, command execution, job monitoring, and access to desktop connection and guest login details.

Enables AI agents to manage and interact with Kasm Workspaces containerized desktop infrastructure, providing tools for session management, command execution, file operations, and user management via the Model Context Protocol.

Enables MCP clients to drive a Pterodactyl game panel over both its client and application API trees, covering servers, files, backups, schedules, databases, subusers, nodes, nests, and an eight-tool wings websocket console suite. Exposes 105 typed tools with a default-deny gate that blocks deletes, reinstalls, suspensions, and kill actions until explicitly allowlisted.

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.

Enables an AI assistant to drive a Color Computer 3 emulated in MAME, including entering BASIC commands, mounting disk images, capturing screen snapshots, and peeking/poking memory.

A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.

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.