# mnvitop

> mnvitop — kangkangzi2025-mnvitop. Use this tool when you need to manage and allocate GPUs across multiple SSH hosts from a single terminal, solving resource utilization and accessibility issues for AI model training and deployment. It takes input from nvidia-smi on remote hosts and outputs a unified view of available GPUs, allowing agents to find and utilize free resources. Ideal for use cases involving distributed computing and GPU-intensive workloads.

Canonical page: https://skillsregistry.net/skills/kangkangzi2025-mnvitop  
JSON: https://api.skillsregistry.net/v1/skills/kangkangzi2025-mnvitop

## Description

One terminal for the GPUs of all your ssh hosts, with an MCP server so agents can find a free GPU. The remote side needs only nvidia-smi.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kangkangzi2025/mnvitop)

## 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": "kangkangzi2025-mnvitop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kangkangzi2025-mnvitop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kangkangzi2025-mnvitop/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