# MCP Multi-Language Sandbox

> Use this tool when you need to execute code in multiple programming languages, such as Python, Rust, and TypeScript, in a secure and isolated environment. It solves problems related to cross-language development, testing, and machine learning model deployment, providing a flexible interface for local code execution with inputs including code files and library dependencies, and outputs including execution results and logs. Ideal for use cases requiring rapid prototyping, testing, and development across diverse programming languages and frameworks.

Canonical page: https://skillsregistry.net/skills/pit-cl-mcp-multilang-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/pit-cl-mcp-multilang-sandbox

## Description

Enables local, Docker-isolated code execution across six programming languages including Python, Rust, and TypeScript. It features pre-warmed container pooling, persistent sessions, and built-in support for machine learning libraries.

## Trust

- **Trust score (0–1):** 0.91
- **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:** [Glama](https://glama.ai/mcp/servers/h6b7idm65h)
- **Repository:** <https://github.com/Pit-CL/mcp-multilang-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": "pit-cl-mcp-multilang-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pit-cl-mcp-multilang-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pit-cl-mcp-multilang-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