# helmdeck

> helmdeck — tosin2013-helmdeck. Use this tool when you need to deploy and manage AI agents with high success rates on large open-weight models. Helmdeck solves the problem of optimizing AI model performance by providing a self-hosted, containerized platform with schema-validated tools and native MCP support. It takes in JSON inputs and outputs successful AI model deployments, ideal for use cases requiring reliable and efficient AI agent management.

Canonical page: https://skillsregistry.net/skills/tosin2013-helmdeck  
JSON: https://api.skillsregistry.net/v1/skills/tosin2013-helmdeck

## Description

A self-hosted, containerized platform for AI agents, exposed as Capability Packs — schema-validated, one-shot JSON tools — and native MCP. The defining metric is ≥90% pack success on 7B–30B-class open-weight models, something no frontier-targeting competitor is optimizing for.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/tosin2013/helmdeck)

## 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": "tosin2013-helmdeck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tosin2013-helmdeck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tosin2013-helmdeck/pull`

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