Code Sandbox MCP 🐳
@Automata-Labs-team
About Code Sandbox MCP 🐳
An MCP server to create secure code sandbox environment for executing code within Docker containers. This MCP server provides AI applications with a safe and isolated environment for running code while maintaining security through containerization.
Config
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Overview
What is Code Sandbox MCP 🐳?
Code Sandbox MCP 🐳 is a secure sandbox environment for executing code within Docker containers. It provides AI applications with a safe, isolated runtime for running code, leveraging containerization to maintain security.
How to use Code Sandbox MCP 🐳?
Install via the quick install script (Linux/macOS: curl -fsSL https://raw.githubusercontent.com/Automata-Labs-team/code-sandbox-mcp/main/install.sh | bash; Windows: irm ... | iex), or download the binary manually. Then configure your MCP‑compatible AI application (e.g., Claude Desktop) to point to the code-sandbox-mcp executable. Use tools like sandbox_initialize, sandbox_exec, copy_project, write_file, copy_file, and sandbox_stop to manage containers and execute code.
Key features of Code Sandbox MCP 🐳
- Flexible container creation and management
- Custom Docker image support as execution environment
- File and directory transfer between host and containers
- Shell command execution within containerized environments
- Real‑time streaming of container logs and output
- Built‑in update checking and automatic binary updates
- Multi‑platform support for Linux, macOS, and Windows
Use cases of Code Sandbox MCP 🐳
- Providing AI coding assistants with a safe environment to run generated code
- Executing user‑submitted code in a sandboxed, temporary container
- Running shell commands without risking the host system
- Testing software builds and scripts in isolated Docker containers
FAQ from Code Sandbox MCP 🐳
What prerequisites are needed to run Code Sandbox MCP 🐳?
Docker must be installed and running on your system. The server works on Linux, macOS, and Windows.
How do I install Code Sandbox MCP 🐳?
Use the quick‑install script for your platform, or download the latest release binary from the GitHub releases page and place it in your PATH.
How do I configure Code Sandbox MCP 🐳 with Claude Desktop?
The installer automatically creates the configuration file. For manual setup, add an entry in your Claude Desktop config file (e.g., ~/.config/Claude/claude_desktop_config.json on Linux) with the path to the code-sandbox-mcp binary.
What tools are available in Code Sandbox MCP 🐳?
The server provides tools to initialize a container (sandbox_initialize), copy files/directories (copy_project, copy_file, write_file), execute commands (sandbox_exec), stop and remove a container (sandbox_stop), and a resource to retrieve container logs (containers://{id}/logs).
How does Code Sandbox MCP 🐳 ensure security?
It uses Docker containers for isolated execution, applies resource limitations through Docker constraints, and separates stdout and stderr streams.
Frequently asked questions
What prerequisites are needed to run Code Sandbox MCP 🐳?
Docker must be installed and running on your system. The server works on Linux, macOS, and Windows.
How do I install Code Sandbox MCP 🐳?
Use the quick‑install script for your platform, or download the latest release binary from the GitHub releases page and place it in your PATH.
How do I configure Code Sandbox MCP 🐳 with Claude Desktop?
The installer automatically creates the configuration file. For manual setup, add an entry in your Claude Desktop config file (e.g., `~/.config/Claude/claude_desktop_config.json` on Linux) with the path to the `code-sandbox-mcp` binary.
What tools are available in Code Sandbox MCP 🐳?
The server provides tools to initialize a container (`sandbox_initialize`), copy files/directories (`copy_project`, `copy_file`, `write_file`), execute commands (`sandbox_exec`), stop and remove a container (`sandbox_stop`), and a resource to retrieve container logs (`containers://{id}/logs`).
How does Code Sandbox MCP 🐳 ensure security?
It uses Docker containers for isolated execution, applies resource limitations through Docker constraints, and separates stdout and stderr streams.
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