Dockhand FAQs

Question 1

What kind of Docker operations can I perform with MCP Dockhand?

Accepted Answer

You can manage virtually all aspects of Docker, including creating, starting, stopping, updating, and inspecting containers and stacks; managing images, networks, and volumes; deploying Git-based projects; and configuring environments. This includes real-time operations via Server-Sent Events (SSE).

Question 2

Is MCP Dockhand suitable for production environments?

Accepted Answer

Yes, MCP Dockhand is Docker-ready, featuring multi-stage builds, non-root user execution, and health checks, making it robust for production use. It also includes session-based authentication with automatic re-login for secure operations.

Question 3

What is MCP Dockhand?

Accepted Answer

MCP Dockhand is an MCP (Model Context Protocol) server that exposes over 130 Dockhand API endpoints as individual tools. This enables AI assistants to programmatically manage and automate your entire Docker infrastructure.

Question 4

How does MCP Dockhand allow AI assistants to manage Docker?

Accepted Answer

By translating Dockhand's extensive API into MCP tools, MCP Dockhand provides AI models with a structured interface to interact directly with your Docker containers, stacks, images, networks, and more, allowing for intelligent, automated infrastructure management.

Question 5

How do I integrate MCP Dockhand into my setup?

Accepted Answer

Integration is straightforward. You can deploy MCP Dockhand using Docker or Docker Compose and configure it to connect to your existing Dockhand server instance. For AI clients like Claude Desktop, you simply add its URL to your MCP settings.

Dockhand

Dockhand

주요 기능

사용 사례

주요 기능

사용 사례