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Docker MCP Server ★ Popular (494 stars)

Overview

The Docker MCP Server by QuantGeekDev gives AI agents full management control over Docker environments. Manage containers, images, networks, volumes, Swarm services, secrets, configs, nodes, and plugins — all through natural conversation with your AI assistant. At 494 stars and 64 forks, this is one of the most battle-tested MCP servers in the ecosystem.

Key advantage: Operators can ask their AI to deploy, debug, and manage containers without touching a terminal — Docker management becomes conversational.

Key Features

  • Complete Docker surface: Manage containers (create, start, stop, inspect, logs), images (pull, build, tag, push), networks, volumes, and Swarm services
  • Swarm orchestration: Deploy and manage Docker Swarm services, secrets, configs, and nodes through MCP tools
  • Production-hardened: 494 GitHub stars, 64 forks, MIT licensed — used in production environments since December 2024
  • Stdio transport: Runs locally alongside your AI client — no cloud dependency, no data leaves your environment

Installation

# Clone and install
git clone https://github.com/QuantGeekDev/docker-mcp.git
cd docker-mcp
npm install
npm run build

Configuration

{
  "mcpServers": {
    "docker": {
      "command": "node",
      "args": ["path/to/docker-mcp/build/index.js"]
    }
  }
}

Business Relevance

  • DevOps operators: Deploy containers, check logs, restart services, and debug issues through conversation — no context-switching between AI assistant and terminal
  • Platform engineering teams: Give every developer an AI assistant that can spin up local Docker environments, check container health, and debug networking issues — reduces "it works on my machine" incidents
  • SRE and on-call teams: During incidents, ask your AI "show me logs for the auth service container from the last 15 minutes" — faster than SSH + grep
  • Technical founders: Manage staging and production containers without a dedicated DevOps hire — your AI assistant becomes your infrastructure operator

Integration with CorpusIQ

Docker MCP complements CorpusIQ's infrastructure monitoring capabilities. Combine container health data from Docker MCP with CorpusIQ's Stripe and GA4 connectors to correlate infrastructure events with business metrics — did a container restart cause a drop in signups? Your AI can answer that by cross-referencing deployment events with revenue data.

For teams running CorpusIQ's MCP endpoint on Docker, this server enables self-management — ask your AI to check the CorpusIQ MCP container health, view recent logs, and restart if needed, all through conversation.

Limitations

  • Docker dependency: Requires Docker Engine running locally — no remote Docker management without additional configuration
  • Stdio transport only: Local-only deployment — cannot manage remote Docker hosts without tunneling or SSH forwarding
  • Permission model: The AI agent gets the same Docker permissions as the user running the MCP server — no granular tool-level access control
  • Swarm-first, no K8s: Focused on Docker Swarm — no native Kubernetes support. If you're on K8s, look at the Kubernetes MCP server instead

See Also