# mcpdockery

> mcpdockery — chandrakant1988-https-github-com-theo-gkisis-mcpdockery. Use this tool when you need to manage and control local Docker resources using natural-language commands, solving problems such as container and image management, security scanning, and diagnostics. It accepts natural-language inputs and provides outputs on Docker resource status and diagnostics. Ideal for use cases requiring simplified and automated Docker management, such as development, testing, and deployment environments.

Canonical page: https://skillsregistry.net/skills/chandrakant1988-https-github-com-theo-gkisis-mcpdockery  
JSON: https://api.skillsregistry.net/v1/skills/chandrakant1988-https-github-com-theo-gkisis-mcpdockery

## Description

MCP server for natural-language control of local Docker, covering containers, images, volumes, networks, and Compose stacks, plus security scanning and diagnostics.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s1xg2jdn09)
- **Repository:** <https://github.com/Chandrakant1988/https-github.com-Theo-Gkisis-mcpdockery>

## 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": "chandrakant1988-https-github-com-theo-gkisis-mcpdockery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chandrakant1988-https-github-com-theo-gkisis-mcpdockery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chandrakant1988-https-github-com-theo-gkisis-mcpdockery/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