An MCP server that enables AI agents to manage Docker containers, images, volumes, and networks through natural language. Supports local and remote Docker engines for container lifecycle operations via the Model Context Protocol.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Docker MCP Server for Container Lifecycle Management"
slug: "docker-mcp-server-container-lifecycle-management"
description: "An MCP server that enables AI agents to manage Docker containers, images, volumes, and networks through natural language. Supports local and remote Docker engines for container lifecycle operations via the Model Context Protocol."
github_stars: 695
verification: "security_reviewed"
source: "https://github.com/ckreiling/mcp-server-docker"
category: "Integrations & Connectors"
framework: "MCP"
tool_ecosystem:
github_repo: "ckreiling/mcp-server-docker"
github_stars: 695
---
# Docker MCP Server for Container Lifecycle Management
An MCP server that enables AI agents to manage Docker containers, images, volumes, and networks through natural language. Supports local and remote Docker engines for container lifecycle operations via the Model Context Protocol.
## Installation
Use the upstream install or setup path that matches your environment:
- <summary>Install with Docker</summary>
- docker build -t mcp-server-docker .
Requirements and caveats from upstream:
- # 🐋 Docker MCP server
- An MCP server for managing Docker with natural language!
- 📀 Manage persistent data with Docker volumes
Basic usage or getting-started notes:
- Tinkerers: run containers locally and experiment with open-source apps
- #### Claude Desktop
- On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
- Source: https://github.com/ckreiling/mcp-server-docker
- Extracted from upstream docs: https://raw.githubusercontent.com/ckreiling/mcp-server-docker/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/docker-mcp-server-container-lifecycle-management/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.