# cloudrake

> cloudrake — joshhatfield-cloudrake. Use this tool when you need to extract and unify logs and data from cloud services for AI processing. Cloudrake solves the problem of scattered cloud data by providing a centralized MCP server, accepting cloud service inputs and outputting unified data for AI tools. It is ideal for use cases requiring aggregated cloud data, such as log analysis or machine learning model training, and integrates with git for version control.

Canonical page: https://skillsregistry.net/skills/joshhatfield-cloudrake  
JSON: https://api.skillsregistry.net/v1/skills/joshhatfield-cloudrake

## Description

A cloud MCP server for extracting logs and unified data from cloud services to be used as an AI tool

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/joshhatfield/cloudrake)

## 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": "joshhatfield-cloudrake"
    }
  }
}
```

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