# Labby

> Labby — ai-dinglebear-labby. Use this tool when you need to manage and control your homelab infrastructure, providing a unified interface through CLI, HTTP API, and web UI to streamline local-first MCP gateway operations. It solves problems of complexity and fragmentation in homelab management, offering a centralized control plane for efficient resource allocation and monitoring. Ideal for use cases requiring flexible, local-first infrastructure management with multiple interface options.

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

## Description

Rust MCP gateway with Code Mode, authentication, setup, logs, CLI, HTTP API, and operator web UI.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dinglebear%2Flabby)
- **Repository:** <https://github.com/dinglebear-ai/labby>

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

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