# Docker

> Use this tool when you need to manage Docker containers and images programmatically, solving problems such as deployment automation, development environment management, and infrastructure monitoring. It provides a comprehensive interface for container lifecycle management, image operations, network management, and log retrieval, accepting inputs via stdio and SSE transport modes and outputting structured data via value objects. Ideal for DevOps workflows, container orchestration tasks, and AI assistants requiring flexible Docker control.

Canonical page: https://skillsregistry.net/skills/nideil-docker  
JSON: https://api.skillsregistry.net/v1/skills/nideil-docker

## Description

Java-based MCP server implementation by Freezeu that provides AI assistants with complete Docker management capabilities through the Docker Java API, supporting both stdio and SSE transport modes for flexible integration. Built using Spring Boot with comprehensive Docker operations including container lifecycle management (create, start, stop, remove), image operations (pull, build, tag, remove), network management, and log retrieval, the implementation connects to Docker daemon via TCP and includes proper error handling with connection validation. The server uses value objects for structured data representation and includes extensive test coverage, making it valuable for DevOps workflows, container orchestration tasks, and AI assistants that need programmatic Docker control for deployment automation, development environment management, or infrastructure monitoring scenarios.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nideil-docker)
- **Repository:** <https://github.com/nideil/mcp-server-docker>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nideil-docker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nideil-docker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nideil-docker/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt