# sacloud-mcp

> Use this tool when you need to manage Sakura Cloud infrastructure and interact with cloud resources and object storage through natural language interfaces. It solves problems related to cloud resource management and automation by providing a user-friendly interface to handle complex tasks. The sacloud-mcp tool takes natural language inputs and outputs controlled cloud infrastructure operations, making it ideal for use cases that require streamlined cloud management and automation.

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

## Description

An MCP server for Sakura Cloud that enables interaction with cloud resources and object storage. It allows users to manage Sakura Cloud infrastructure through natural language interfaces using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/amm0z91f0s)
- **Repository:** <https://github.com/sacloud/sacloud-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": "sacloud-sacloud-mcp"
    }
  }
}
```

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