"Tools or methods to generate images" matching MCP servers:

Provides Docker management tools for AI agents, including inspecting containers, images, Dockerfiles, and Compose configurations.

Provides read-only, governance-audited operations for OLVM and oVirt 4.5 engines, enabling inventory, health, capacity, and diagnosis queries over MCP and CLI with audit logging and budget guards.

AI-powered MCP server for managing Proxmox VE VMs and containers with built-in governance, audit logging, and reversibility.

Enables AI assistants to manage Coolify infrastructure including servers, applications, databases, deployments, and 80+ one-click services through 98 comprehensive tools for both cloud and self-hosted instances.

Governed XCP-ng operations via Xen Orchestra REST — VM-health, SR-usage, backup-failure, and patch-state RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

AI-powered Veeam Backup & Replication operations MCP server with tools for managing jobs, restores, sessions, and repositories, featuring built-in governance, audit logging, and safety controls.

Governed Kubernetes operations for AI agents with 15 MCP tools, audit logging, policy engine, and safety features.

Governed AI-ops MCP server for Nutanix Prism Central v4 REST API, offering 47 read/write tools for clusters, VMs, storage, network, catalog, data protection, alerts, and LCM upgrades with built-in audit, budget, and risk-tier governance.

Governed Docker + Portainer container-host operations (non-Kubernetes) — restart-loop, resource-pressure, and image/volume-bloat RCA, with guarded lifecycle writes, unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Enables an AI agent to run and inspect containers, build and pull images, manage volumes and networks, drive Compose projects, clean up, and run self-checking practice labs. Startup modes restrict it to read-only, labs-only, or full Docker control with confirmation before dangerous operations.

Enables AI assistants to manage Docker containers, images, volumes, networks, and compose projects through Arcane's API. Provides comprehensive tools for environment, container, image, volume, network, project, and system operations.

Exposes Arcane Docker management capabilities to AI agents, covering containers, images, volumes, networks, Compose projects, registries, vulnerability scanning, and more with 123 tools across 13 modules.

Enables AI clients such as Claude Desktop, Cursor, and Claude Code to administer a 1Panel v1.x server through 257 MCP tools covering containers and images, apps and runtimes, files, backups, databases, websites, firewall, and monitoring. Supports both stdio and token-authenticated HTTP/SSE transports for local or remote access.

Enables agents to deploy, run, expose, inspect, and manage isolated cloud environments, including databases, caches, browsers, GitHub-hosted apps, and arbitrary OCI images, via MCP tools.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

A Model Context Protocol server that provides tools for interacting with Docker images, containers, and registries, enabling AI assistants to search, analyze, and manage Docker resources through a standardized interface.

Enables AI assistants to search, analyze, and manage Docker images on Docker Hub through standardized MCP tools, with features including security scanning, layer analysis, and image comparison.

Exposes Arcane's Docker-management API (containers, images, volumes, networks, Compose projects, environments, system) as MCP tools over Streamable HTTP, with automatic tool generation from the live OpenAPI spec and confirmation for destructive operations.

Enables AI assistants to manage OpenStack cloud resources including compute, images, identity, network, and block storage via the Model Context Protocol.

Enables users and AI assistants to search LinuxServer.io images, audit Compose and docker run configurations, research image requests, validate service specifications, generate Dockerfile/Compose/README scaffolds, and access guidance and best-practice checklists.

Enables remote Docker management over SSH via a local MCP server, providing tools to manage containers, images, Compose, and system resources.

MCP server for Podman and Docker container runtimes, enabling management of containers, images, networks, and volumes via AI assistants.

Automatically installs and containerizes MCP servers from GitHub repositories using MCP sampling to analyze repositories and create appropriate Docker images.

MCP server for managing Docker containers, images, networks, volumes, and Compose projects via Arcane, exposing a single 'arcane' tool for read/write operations over stdio or HTTP.

Enables AI assistants to manage Docker containers, images, volumes, networks, and Compose projects through natural language, with secret masking and destructive action grants.

Enables managing Docker environments through Arcane via natural language, providing tools for containers, images, volumes, networks, and Docker Compose stacks.

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.

Enables secure Docker command execution from isolated environments like containers through MCP protocol. Provides tools for managing Docker containers, images, and Docker Compose services with security validation and async operation support.

MCP server exposing the Dockhand API as MCP tools. Enables AI assistants to manage Docker infrastructure including containers, stacks, images, networks, and volumes across multiple hosts.

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