# rarcane

> rarcane — dinglebear-ai-rarcane. Use this tool when you need to manage Docker resources, such as containers, images, and networks, through a unified interface. It solves problems related to container orchestration, providing a single point of control for read/write operations via stdio or HTTP. Ideal for use cases requiring streamlined Docker management, rarcane simplifies complex container environments.

Canonical page: https://skillsregistry.net/skills/dinglebear-ai-rarcane  
JSON: https://api.skillsregistry.net/v1/skills/dinglebear-ai-rarcane

## Description

MCP server for managing Docker containers, images, networks, volumes, and Compose projects via Arcane, exposing a single 'arcane' tool for read/write operations over stdio or HTTP.

## Trust

- **Trust score (0–1):** 0.22
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ip06ogplgh)
- **Repository:** <https://github.com/dinglebear-ai/rarcane>

## 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": "dinglebear-ai-rarcane"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dinglebear-ai-rarcane` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dinglebear-ai-rarcane/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