How do I install the llm mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

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Llm MCP Server

LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode.

Local serverstdioPython

What is the Llm MCP Server?

LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode.

What it actually does

✨ 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.

Secure Code Execution — Execute code in isolated containers with your preferred backend
Multi-Language Support — Run Python, JavaScript, Java, C++, Go, R, and Ruby code
Automatic Visualization Capture — Automatically capture and return plots and visualizations
Library Management — Install packages and dependencies on-the-fly
Flexible Backend Support — Choose from Docker, Podman, or Kubernetes backends

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Llm MCP Server

{
  "mcpServers": {
    "llm-sandbox": {
      "command": "python3",
      "args": [
        "-m",
        "llm_sandbox.mcp_server.server"
      ],
      "env": {
        "BACKEND": "podman",
        "DOCKER_HOST": "unix:///run/podman/podman.sock",
        "SANDBOX_NETWORK_MODE": "none",
        "SANDBOX_READ_ONLY": "true",
        "SANDBOX_CAP_DROP": "ALL",
        "SANDBOX_SECURITY_OPT": "no-new-privileges:true",
        "SANDBOX_MEMORY": "4g",
        "SANDBOX_CPU_COUNT": "1"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Variable	Description	Required
BACKEND	Declared in the maintainer’s client configuration.	Check documentation
DOCKER_HOST	Declared in the maintainer’s client configuration.	Check documentation
SANDBOX_NETWORK_MODE	Declared in the maintainer’s client configuration.	Check documentation
SANDBOX_READ_ONLY	Declared in the maintainer’s client configuration.	Check documentation
SANDBOX_CAP_DROP	Declared in the maintainer’s client configuration.	Check documentation
SANDBOX_SECURITY_OPT	Declared in the maintainer’s client configuration.	Check documentation
SANDBOX_MEMORY	Declared in the maintainer’s client configuration.	Check documentation
SANDBOX_CPU_COUNT	Declared in the maintainer’s client configuration.	Check documentation

Example prompts to try

“Use Llm to JavaScript.”
“Use Llm to Java.”
“Use Llm to Examples.”

Frequently asked questions

LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.