"How to Add Images to a Website" matching MCP servers:

Enables AI agents to manage WSL containers and images via the wslc CLI, supporting container lifecycle, network, volume, and registry operations through natural language.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

Enables AI models to manage Docker containers, images, networks, and volumes through the Portainer API, providing comprehensive container orchestration capabilities.

MCP server for Portainer REST API that enables AI assistants to manage Docker containers, stacks, images, networks, and volumes through natural language.

Enables AI agents to manage Docker containers, images, Compose stacks, health checks, and logs through a unified MCP interface, ensuring containers stay running with self-healing capabilities.

Enables AI agents to manage server infrastructure through the 1Panel API, including Docker containers, databases, and system monitoring. It provides tools for website management, file operations, and application deployment via natural language commands.

Enables AI assistants to manage Docker containers, images, networks, volumes, and Docker Compose services through the Model Context Protocol.

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

AI-powered Docker management server that enables natural language control of environments, containers, images, networks, volumes, and more through a unified Arcane API interface.

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

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.

Enables users to create, inspect, list, and delete per-user JupyterLab servers on the UChicago ATLAS Analysis Facility Kubernetes cluster, with GPU availability and supported image listing tools.

An MCP server for interacting with Azure. Contains some common Compute and Networking actions, and extensible to add many more.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

A powerful, lightweight Model Context Protocol (MCP) server built in Python that enables Artificial Intelligence assistants (Claude Desktop, Cursor, Antigravity, Claude Code, etc.) to manage and monitor your Proxmox VE cluster using natural language.

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

Enables searching LinuxServer.io images, auditing Docker Compose and run commands against documentation-derived conventions, and searching open/closed image requests to prepare drafts without submission.

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