# Docker Code Sandbox

> Use this tool when you need to execute untrusted Python code in a secure environment, such as data analysis, algorithm testing, or educational demonstrations. It provides a sandboxed container with resource limits and isolation, ensuring the host system's security is not compromised. The Docker Code Sandbox takes Python code as input and returns execution results, making it ideal for safely running unknown code without risking system integrity.

Canonical page: https://skillsregistry.net/skills/svngoku-docker-code-interpreter  
JSON: https://api.skillsregistry.net/v1/skills/svngoku-docker-code-interpreter

## Description

Docker Code Interpreter MCP provides a secure sandbox environment for executing Python code within isolated Docker containers. The implementation creates lightweight Alpine-based containers with resource limits (memory, CPU, processes) and proper isolation, installs Python runtime dynamically, and exposes tools for initializing containers, executing code, and cleaning up resources. Built with comprehensive error handling and detailed logging, it enables AI assistants to safely run untrusted code for data analysis, algorithm testing, and educational demonstrations without compromising the host system's security.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/svngoku-docker-code-interpreter)
- **Repository:** <https://github.com/svngoku/mcp-docker-code-interpreter>

## 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": "svngoku-docker-code-interpreter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/svngoku-docker-code-interpreter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/svngoku-docker-code-interpreter/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