# com.googleapis.compute/mcp

> Use this tool when you need to manage infrastructure tasks, such as provisioning and configuring resources, to support large language model (LLM) agents. It solves problems related to scalable and efficient infrastructure management, allowing for automated tasks and workflows. The tool accepts input parameters for task specification and outputs managed resource configurations and status updates.

Canonical page: https://skillsregistry.net/skills/com-googleapis-compute-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-googleapis-compute-mcp

## Description

Provides capabilities that let LLM agents perform a range of infrastructure management tasks.

## 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:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.googleapis.compute%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://compute.googleapis.com/mcp`

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": "com-googleapis-compute-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-googleapis-compute-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-googleapis-compute-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