# mcp-server-isaaclab

> Use this tool when you need to manage NVIDIA Isaac Lab for reinforcement learning (RL) tasks, such as training, environment management, and policy evaluation, on a remote GPU instance. It enables control via SSH tunnel, streamlining RL workflows and leveraging remote computing resources. Ideal for use cases requiring scalable and efficient RL training and evaluation.

Canonical page: https://skillsregistry.net/skills/chloepilonv-mcp-server-isaaclab  
JSON: https://api.skillsregistry.net/v1/skills/chloepilonv-mcp-server-isaaclab

## Description

Enables Claude to control NVIDIA Isaac Lab for RL training, environment management, and policy evaluation on a remote GPU instance via SSH tunnel.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b6f2nbedq4)
- **Repository:** <https://github.com/chloepilonv/mcp-server-isaaclab>

## 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": "chloepilonv-mcp-server-isaaclab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chloepilonv-mcp-server-isaaclab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chloepilonv-mcp-server-isaaclab/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