"Information about Docker containerization technology" matching MCP servers:

An AI-powered containerization assistant that helps you build, scan, and deploy Docker containers through VS Code and other MCP-compatible tools.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Wraps the Docker Engine API as MCP tools for container and image management. Reduces token consumption by providing typed tools with default summaries and field selection.

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 LLMs to search Docker Hub repositories, discover container images, and manage Docker Hub repositories and tags through natural language queries. Supports both public content access and authenticated operations with Docker Personal Access Tokens.

Enables inspecting, orchestrating, and troubleshooting Docker Engine and Docker Compose environments through six consolidated high-leverage MCP tools.

A tool that helps AI agents interact with Docker containers on local or remote machines, allowing users to manage and troubleshoot containers without Docker knowledge.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.

Docker container, image, volume, network, and compose management from your AI assistant.

Enables AI assistants to manage Docker containers and Compose stacks through natural language, including lifecycle operations, logs, stats, and secure remote access.

An MCP server that enables AI assistants to manage Docker containers, images, networks, and volumes through a standardized interface. It supports comprehensive operations like container lifecycle management and image pulling while ensuring correct handling of command and environment variable arrays.

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 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.

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

Manages Docker containers, images, and Compose stacks on a remote host over SSH, with file sync and deploy orchestration.

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.

Enables AI assistants to inspect and manage Docker environments across one or multiple hosts, including listing containers, retrieving logs and stats, and starting, stopping, restarting, or removing containers, with read-only and secret-redaction safeguards.

Provides a local API to manage Docker containers and volumes, enabling operations like listing, inspecting, starting, stopping, and removing containers, as well as managing volumes, all through HTTP endpoints without shell commands.

Enables AI assistants to manage Docker containers, images, networks, volumes, and Compose services through the Model Context Protocol. It supports system operations, command execution within containers, and integration with Docker Hub and GitHub Container Registry.

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

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

Connects the Docker Desktop MCP gateway as an MCP server, enabling profile discovery, selection, and reconnection from the DSH web GUI.

Enables AI clients to interact with WhatsApp via MCP tools for searching contacts, sending/receiving messages, and managing chats, running in a Docker container with HTTP/SSE transport.

Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.

Enables interaction with Twilio API services including messaging, voice, and Studio flows through Docker deployment. Supports both API Key and Auth Token authentication for managing calls, messages, phone numbers, and automation workflows.

Provides AI assistants with access to 102 curated UK Government technology standards, enabling context-aware recommendations for accessibility, APIs, security, cloud strategy, and more.

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An MCP server that provides access to NS (Dutch Railways) travel information.

Enables MCP clients to query proxy sub-accounts, traffic, pricing, and inventory, and to place orders, renew, and modify configurations after user confirmation.

Lets an MCP client read allowlisted pages from the LiveSwapFace website, retrieve its official links, and estimate credits for a planned browser session using rates fetched at call time. It is read-only and never performs face swaps, signs in, uploads media, or touches a private API.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables AI assistants to access and update personalized context data, creating persistent memory between sessions.

MCP server that answers questions about the Chia blockchain, including balances, blocks, transactions, offers, fees, and more, using the public coinset.org API and CoinGecko for pricing.

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

Connects any MCP client to a deterministic in-browser Docker simulation so a user's own AI can teach by inspecting and mutating world state, rewinding and comparing events, running 27 "what-if" experiments, tracing concept relationships, and quizzing the learner. It exposes 14 typed tools over Streamable HTTP with bearer-token auth, needing no hosted AI or server-side lab state.

An MCP server that provides real-time delay information for JR East train lines, accessible via MCP clients like Claude Desktop through the 'getDelays' tool.

A TypeScript server that fully implements the Model Context Protocol (MCP) standard, providing API access to Docker CLI operations like build, run, stop, and image management through compatible AI clients.