"Information about Docker containerization technology" matching MCP servers:

More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.

Provides secure, disposable, resource-bounded container sandboxes that let AI agents create and inspect files, run shell commands with timeouts, and perform Git operations without exposing the host environment.

Enables managing Docker containers and Docker Compose projects on Synology NAS via SSH, with auto-privilege escalation and full compatibility with Synology Container Manager.

A minimal MCP server that exposes a run_command tool over stdio, enabling command execution within a Docker container.

Enables spawning ephemeral Linux sandbox containers using Docker and executing commands through an interactive TTY interface. Supports collaborative terminal sessions where both AI clients and humans can simultaneously interact with the same container.

Enables secure execution of shell commands and file operations within isolated Docker containers. Provides process management, interactive input handling, and comprehensive file system operations for containerized development environments.

An MCP server that allows managing Docker containers through natural language, enabling users to compose, introspect, and debug containers without running commands themselves.

An MCP server that provides full lifecycle management of lightweight VMs backed by Docker containers, enabling creation, SSH access, command execution, and resource monitoring through natural language.

A secure Docker-based environment that allows AI assistants to safely execute code without direct access to the host system by running all code within isolated containers.

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 FastMCP server that enables AI agents to safely execute shell commands, run code in Python/Node.js/Go, and install packages, all packaged in Docker for secure deployment.

Enables AI agents to deploy applications and manage servers over SSH using natural language commands, with built-in tools for Python bots, Docker Compose, and SSL setup.

Enables AI coding agents to safely execute code, run tests, and build projects inside disposable Docker sandboxes, protecting the host machine through enforced isolation, filesystem snapshots, and network controls.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

Provides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

Exposes a pentest toolbox (sqlmap, nuclei, ffuf, etc.) via Docker to an LLM orchestrator for authorized security audits, with strict whitelisting and timeout controls.

MCP server that wraps Docker, Caddy, and GitHub Actions operations on a remote VPS, enabling Claude to take read-then-write-with-confirmation infrastructure actions over SSH with a service allowlist and audit-trail-friendly responses.

Enables AI assistants to run shell commands, read, write, edit, search, and stream files on remote SSH servers and Docker containers, including nested multi-layer chains, without installing any runtime on the target hosts. It auto-injects a self-contained Go helper with adaptive zstd compression for fast transfers and process control.

Allows executing shell commands within a secure Docker container through Claude's MCP interface, providing Kubernetes tools and isolated environment without host Docker daemon access.

An MCP server that enables managing SSH hosts, tunnels, Docker containers, and monitoring metrics via Termix's REST API.

MCP server for managing a self-hosted Coolify instance. Provides full REST CRUD, deploy/watch capabilities, and an optional host-ops tier for live log streaming, SSH, Docker, and database access.

A secure, local-first MCP server for read-only inspection and troubleshooting of development environments, exposing narrow, typed, auditable capabilities for repository inspection, log summarization, Docker review, and security scanning without granting unrestricted machine access.

MCP server for Webmin system administration. 61 tools across 12 modules covering system monitoring, services, users, cron, packages, files, storage (SMART + LVM), security (Fail2ban), MySQL databases, Webmin ACL, and disk quotas. Four-tier safety framework with safe mode on by default. Python, MIT license, Docker and local deployment supported.

A TypeScript-based MCP server that enables Claude Desktop to perform file operations and retrieve system information, with built-in security features that restrict access to safe directories only.

Persistent tmux-backed MCP server that lets Claude Code control Codex CLI's interactive TUI, including slash commands and $imagegen. Run local shells, SSH, Docker, WSL, REPLs, and supported coding agents through durable PTY sessions.

Gives AI assistants full control over a VPS via SSH, enabling command execution, file management, service control, Docker and firewall management.

Enables AI assistants to perform comprehensive SSH operations including command execution, file transfers, port forwarding, and key management through a stateless, Docker-ready MCP server.

Enables secure SSH access to servers through a gateway with Kerberos authentication, allowing execution of whitelisted commands with pattern-based security controls and server information retrieval.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

Enables AI clients to execute Windows commands, manage files, query system information, and perform code checks via MCP protocol.

Enables seamless SSH operations including secure connections, file transfers, interactive shell sessions, and Docker container management on remote servers. Supports both password and SSH key authentication with credential management and connection pooling.

An MCP server that provides AI agents with a full Ubuntu desktop environment inside Docker, enabling them to perform complex computer tasks like browsing, coding, testing, and GUI automation.

Enables AI agents to remotely control Linux machines via SSH with 35 tools for session management, file transfer, system administration, Docker, and CTF operations.

Lets Claude manage Linux servers and Docker over SSH or locally, with previews and approval before every change.

MCP server that enables AI to fully control macOS — mouse, keyboard, terminal, screenshots, window management, UI element detection, and provides AI-optimized information reporting.

Provides Unix command documentation directly within Claude conversations, allowing users to retrieve help pages, man pages, and usage information without leaving the chat interface.

Enables AI agents to securely manage and execute commands on remote Windows servers via WinRM, including PowerShell execution, system information retrieval, and service management.

MCP server for managing Ubuntu servers with AI integration, enabling system monitoring, Docker control, Gitea repository management, Ollama LLM interaction, workspace file operations, and Claude Code assistant via natural language.