# Sandbox Fusion

> Use this tool when you need to integrate AI models with simulated environments for testing, training, or demonstration purposes. The Sandbox Fusion server provides a Python-based interface for AI assistants to interact with the sandbox environment, handling communication and data exchange between the two. It is ideal for developers working with AI agents that require a controlled and simulated space to operate, offering a dedicated Conda environment and simple launch script for easy deployment.

Canonical page: https://skillsregistry.net/skills/happyzym-sandbox-fusion  
JSON: https://api.skillsregistry.net/v1/skills/happyzym-sandbox-fusion

## Description

The Sandbox Fusion MCP server provides AI assistants with access to the Sandbox Fusion environment through a Python-based implementation. Built using the MCP and Sandbox Fusion packages, this server runs in a dedicated Conda environment and handles communication between AI models and the sandbox environment. The implementation includes a simple launch script for environment activation and server startup, making it easy to deploy for developers working with AI agents that need to interact with simulated environments for testing, training, or demonstration purposes.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/happyzym-sandbox-fusion)
- **Repository:** <https://github.com/astricaelus/sandbox-fusion-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": "happyzym-sandbox-fusion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/happyzym-sandbox-fusion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/happyzym-sandbox-fusion/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