# salad_mcp

> Use this tool when you need to manage and optimize GPU workloads on SaladCloud, solving problems of deployment, monitoring, and scaling. It takes inputs such as container groups, inference endpoints, and queue configurations, and outputs logs, job status, and quota usage. Use it to operate and monitor your deployments, plan capacity, and scale efficiently in various contexts, including machine learning and AI model training.

Canonical page: https://skillsregistry.net/skills/ethanke-salad-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ethanke-salad-mcp

## Description

Manage GPU workloads on SaladCloud, including container groups and inference endpoints. Operate queues, jobs, logs, and quotas to run and monitor deployments. Check CPU/GPU availability to plan capacity and scale efficiently.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ethanke/salad_mcp)
- **Repository:** <https://github.com/ethanke/salad_mcp>

## 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": "ethanke-salad-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ethanke-salad-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ethanke-salad-mcp/pull`

---
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