Sandbox Mcp
About
A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.
Details
- Author
- pottekkat
- GitHub stars
- 118
- Downloads
- 750
- Categories
- Other
Jump to
- Runs code in secure, isolated Docker containers
- Supports multiple languages: Python, Rust, Go, JavaScript, Java, and more
- Includes a shell sandbox for Linux commands
- Provides a network-tools sandbox for diagnostics
- Allows creation of custom sandboxes (Dockerfile + JSON config)
- Pulls and builds default sandboxes automatically
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Sandbox McpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Download the appropriate binary for your OS from the Releases page, or install via Go (go install github.com/pottekkat/sandbox-mcp/cmd/sandbox-mcp@latest). Initialize with sandbox-mcp --pull and sandbox-mcp --build (Docker must be installed and running). Then configure your MCP host (e.g., Claude Desktop or Cursor IDE) to use the binary with the --stdio argument.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"sandbox mcp": {
"sandbox-mcp": {
"command": "path/to/sandbox-mcp",
"args": [
"--stdio"
]
}
}
}
}
McpServers
{
"sandbox-mcp": {
"command": "path/to/sandbox-mcp",
"args": [
"--stdio"
]
}
}

Sandbox MCP is a Model Context Protocol (MCP) server that enables LLMs (MCP hosts/clients) to run code in secure, isolated Docker containers.
While LLMs are really good at generating code, most can't run the code they generate. You end up running this untested code directly on your machine, which could have drastic unintended consequences.
Giving LLMs the tools to test the code safely prevents such issues and helps you generate more accurate code in fewer iterations.
Sandbox MCP gives the LLMs an easy-to-use execution environment that anyone can create and configure through a simple, AI-native MCP server that runs locally.
_Inspired by Codapi. Some sandboxes are the same as Codapi sandboxes._
Use Cases
Sandbox MCP can be used for many different tasks, including but not limited to:
- Secure code execution: Run any code generated by an LLM in a secure, isolated environment, protecting your system from untrusted or potentially harmful code.
- Code testing: Automatically test and validate code in various languages and or configurations in various environments before integrating it into larger projects or production systems.
- User code validation: Safely execute and check user-submitted code or scripts, ensuring they behave as expected and do not perform malicious actions.
- Network troubleshooting: Diagnose connectivity issues, test endpoints, and analyze network performance using isolated network tools, all without exposing your system.
- Educational and interview coding: Instantly compile and run code snippets for learning, teaching, or technical interviews, providing immediate feedback in a safe, temporary environment.
- Automated code review and feedback: Enable LLMs to execute, test, and review code automatically, offering actionable feedback or suggestions before code is merged or deployed.
Demo
This demo shows how Sandbox MCP works with Claude Desktop.

Try the video if the GIF isn't clear.
Installation
Download Binary
You can download the appropriate binary for your operating system (for example, Darwin) and processor architecture (arm64) from the Releases page (sandbox-mcp_Darwin_arm64.tar.gz).
Install via Go
Prerequisites:
- Go 1.24 or higher
go install github.com/pottekkat/sandbox-mcp/cmd/sandbox-mcp@latest
Get the path to the sandbox-mcp binary:
which sandbox-mcp
Build from Source
See the Development section.
Usage
Initilization
Before you use sandbox-mcp with LLMs, you need to initialize its configuration:
# Create the configuration directory in
$XDG_CONFIG_HOME/sandbox-mcp and pull
the default sandboxes from GitHub
sandbox-mcp --pull
Build the Docker images for the sandboxes
sandbox-mcp --build
> [!NOTE]
> Make sure you have Docker installed and running.
With MCP Hosts/Clients
Add this to your claude_desktop_config.json for Claude Desktop or mcp.json for Cursor IDE:
{
"mcpServers": {
"sandbox-mcp": {
"command": "path/to/sandbox-mcp",
"args": [
"--stdio"
]
}
}
}
> [!NOTE]
> Make sure to replace path/to/sandbox-mcp with the actual path to the sandbox-mcp binary.
Available Sandboxes
| Sandbox | Description |
|---------|-------------|
| shell | A secure, isolated Linux environment for running lightweight commands that does not require network access. |
| python | Safely execute Python code in a secure, isolated environment. |
| rust | Compile and run Rust code in an isolated environment. |
| network-tools | Use various network utilities in an isolated Linux sandbox. Perfect for network diagnostics and troubleshooting. See https://github.com/jonlabelle/docker-network-tools for a list of available tools. |
| go | Run Go code securely in an isolated environment with network access. |
| javascript | Run JavaScript code in an isolated environment using Node.js. |
| apisix | Run a lightweight instance of Apache APISIX, which can be configured through a YAML file and can be interacted through the curl command provided in the main.sh file. For example, curl -sI http://127.0.0.1:9080/ip. |
| java | Compile and run Java code in an isolated sandbox. Supports Java preview features. |
> [!IMPORTANT]
> ### Your Own Sandbox
>
> You can create and add your own sandboxes in $XDG_CONFIG_HOME/sandbox-mcp/sandboxes. A sandbox is essentially a Dockerfile and a JSON configuration. Check out the examples and the guide to learn more.
Development
Fork and clone the repository:
git clone https://github.com/username/sandbox-mcp.git
Change into the directory:
cd sandbox-mcp
Install dependencies:
make deps
Build the project:
make build
Update your MCP servers configuration to point to the local build:
{
"mcpServers": {
"sandbox-mcp": {
"command": "/path/to/sandbox-mcp/dist/sandbox-mcp",
"args": [
"--stdio"
]
}
}
}
License
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