LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode.
LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode. The llm mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 6 defined tools rather than through you.
✨ 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.
llm-sandbox on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Everything the assistant can do here goes through one of these:
JavaScript — const axios = require('axios'); console.log("Axios loaded successfully!"); """, libraries=["axios"])Java — The Java tool exposed by this serverExamples — The Examples tool exposed by this serverFeatures — The Features tool exposed by this serverInstallation — Install LLM Sandbox with MCP support using your preferred backend:Configuration — The Configuration tool exposed by this serverThis sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Llm's toolset — JavaScript, Java, Examples and 3 more — is a fair guide to whether it matches your workflow.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| JavaScript | const axios = require('axios'); console.log("Axios loaded successfully!"); """, libraries=["axios"]) |
| Java | The Java tool exposed by this server. |
| Examples | The Examples tool exposed by this server. |
| Features | The Features tool exposed by this server. |
| Installation | Install LLM Sandbox with MCP support using your preferred backend: |
| Configuration | The Configuration tool exposed by this server. |
{
"mcpServers": {
"llm-sandbox": {
"command": "uvx",
"args": ["llm-sandbox"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.