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LLM Sandbox MCP server

by vndee·io.github.vndee/llm-sandbox·v0.3.43
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Securely run LLM-generated code in isolated containers across 7 languages and 3 container backends.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Widely used

1.1k stars87k downloads/wk

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LLM Sandbox tools (3, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • execute_codewrite action

    Execute code in a secure sandbox environment and automatic visualization capture.

  • get_language_details

    Get the details of a language.

  • get_supported_languages

    Get the list of supported languages.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • Code scan49 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 3 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the LLM Sandbox repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.vndee/llm-sandbox -->

LLM Sandbox

Securely Execute LLM-Generated Code with Ease

LLM Sandbox is a lightweight and portable sandbox environment designed to run Large Language Model (LLM) generated code in a safe and isolated mode. It provides a secure execution environment for AI-generated code while offering flexibility in container backends and comprehensive language support, simplifying the process of running code generated by LLMs.

Documentation: https://vndee.github.io/llm-sandbox/

✨ New: This project now supports the Model Context Protocol (MCP) server, which allows your MCP clients (e.g. Claude Desktop) to run code generated by LLMs in a secure sandbox environment.

🚀 Key Features

🛡️ Security First

  • Isolated Execution: Code runs in isolated containers with no access to host system
  • Security Policies: Define custom security policies to control code execution
  • Resource Limits: Set CPU, memory, and execution time limits
  • Network Isolation: Control network access for sandboxed code

🏗️ Flexible Container Backends

  • Docker: Most popular and widely supported option
  • Kubernetes: Enterprise-grade orchestration for scalable deployments
  • Podman: Rootless containers for enhanced security

🌐 Multi-Language Support

Execute code in multiple programming languages with automatic dependency management:

  • Python - Full ecosystem support with pip packages
  • JavaScript/Node.js - npm package installation
  • Java - Maven and Gradle dependency management
  • C++ - Compilation and execution
  • Go - Module support and compilation
  • R - Statistical computing and data analysis with CRAN packages

🔌 LLM Framework Integration

Runnable examples for eleven agent frameworks — OpenAI Agents SDK, Claude Agent SDK, LangChain, DeepAgents, LlamaIndex, Google ADK, CrewAI, Pydantic AI, smolagents, Strands and AG2. See examples/agent_sdks/.

📊 Advanced Features

  • Artifact Extraction: Automatically capture plots and visualizations
  • Library Management: Install dependencies on-the-fly
  • File Operations: Copy files to/from sandbox environments
  • Custom Images: Use your own container images
  • Fast Production Mode: Skip environment setup for faster container startup
  • Container Pooling: Pre-warm and reuse containers for improved performance (NEW!)

📦 Installation

Basic Installation

pip install llm-sandbox

With Specific Backend Support

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

claude mcp add llm-sandbox -- uvx llm-sandbox
Add to Cursor

LLM Sandbox: common questions

Is LLM Sandbox MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the LLM Sandbox safety report
How do I install LLM Sandbox?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does LLM Sandbox need an API key?
No secret keys are declared. It reads 12 settings from the environment.
Is LLM Sandbox maintained?
The last commit was 4 days ago (2026-09-21). The latest release is v0.3.43.
What can I use instead of LLM Sandbox?
Servers from other publishers that do the same job: Skillsmith MCP server and Agent Lsp MCP server.

Alternatives to LLM Sandbox

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  • Agent Lsp
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LLM Sandbox vs SkillsmithLLM Sandbox vs Agent Lsp

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