# mcp-secure-sandbox

> Use this tool when you need to execute untrusted code in a secure environment, such as running LLM-generated code with isolation and validation. It solves problems related to code security and data integrity by providing a containerized sandbox with multi-layer isolation and JSON/CSV validation. The tool accepts LLM-generated code as input and produces validated output, making it ideal for use cases where code execution security is a top priority.

Canonical page: https://skillsregistry.net/skills/syed-muslim2603-mcp-secure-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/syed-muslim2603-mcp-secure-sandbox

## Description

Provides a secure, containerized Python sandbox for executing LLM-generated code with multi-layer isolation, along with JSON/CSV validation and workspace state snapshots.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bzjt9mg6hu)
- **Repository:** <https://github.com/syed-muslim2603/mcp-secure-sandbox>

## 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": "syed-muslim2603-mcp-secure-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/syed-muslim2603-mcp-secure-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/syed-muslim2603-mcp-secure-sandbox/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