# Google Compute Engine

> Google Compute Engine — gce. Use this tool when you need to create and manage virtual machines in the cloud, solving infrastructure scalability and resource management problems. It takes inputs such as machine type configurations and disk management settings, and outputs controlled compute resources and instance listings. Ideal for use cases requiring flexible and scalable computing infrastructure, such as web application hosting and data processing.

Canonical page: https://skillsregistry.net/skills/gce  
JSON: https://api.skillsregistry.net/v1/skills/gce

## Description

Create and manage virtual machines on Google Cloud. List instances, configure machine types, manage disks, and control compute resources.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-07-17

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/gce)

## 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": "gce"
    }
  }
}
```

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