# CloudLab MCP Server

> Use this tool when you need to manage and control CloudLab or Emulab experiments, including node management and experiment lifecycle tasks. It solves problems such as remote node control, experiment monitoring, and time management by providing a centralized interface for AI assistants. The tool accepts inputs such as experiment IDs and node commands, and outputs include experiment status, console logs, and control results.

Canonical page: https://skillsregistry.net/skills/ardagurcan-cloudlab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ardagurcan-cloudlab-mcp

## Description

Enables AI assistants to manage CloudLab/Emulab experiments, including listing experiments, controlling nodes (reboot, reload, power cycle), retrieving console logs, extending experiment time, and terminating experiments.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nwbgtmwrlc)
- **Repository:** <https://github.com/ArdaGurcan/cloudlab-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": "ardagurcan-cloudlab-mcp"
    }
  }
}
```

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