# Cloud Sandboxes

> Use this tool when you need to run AI-generated code at scale in a secure and isolated environment. Cloud Sandboxes solves the problem of testing and deploying machine learning models quickly and efficiently, allowing for seamless integration with MCP clients. It takes in AI-generated code as input and outputs scalable, isolated execution environments in seconds.

Canonical page: https://skillsregistry.net/skills/agentsphere-cloud-sandboxes  
JSON: https://api.skillsregistry.net/v1/skills/agentsphere-cloud-sandboxes

## Description

The first MCP-integrated cloud sandbox for running AI-generated code at scale. AgentSphere empowers you to spin up isolated execution environments in seconds and integrate seamlessly with your MCP clients.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentsphere-cloud-sandboxes)

## 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": "agentsphere-cloud-sandboxes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentsphere-cloud-sandboxes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentsphere-cloud-sandboxes/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