What languages are supported?
Python, Go, Node.js (including TypeScript/JSX via built-in Node.js support) are supported.
@insecurepla
Basic information
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.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Code Sandbox MCP is a secure sandbox server that executes code in isolated Docker containers. It provides AI applications with a safe environment for running Python, Go, Node.js, and TypeScript code while maintaining security through containerization.
Install via the provided curl (Linux/Mac) or PowerShell (Windows) script, which checks for Docker, downloads the binary, and configures Claude Desktop automatically. Alternatively, manually download the binary from the releases page and add it to your PATH. Then use the run_code tool for snippets or run_project for full directory execution.
Python, Go, Node.js (including TypeScript/JSX via built-in Node.js support) are supported.
Dependencies are automatically detected from import/require statements and installed via pip, npm, or go get. For projects, files like requirements.txt, go.mod, or package.json are used.
Docker must be installed and running on the host system. The installer verifies Docker availability.
The automated installer adds the configuration to Claude’s config file. Manual configuration paths are provided for Linux (~/.config/Claude/), macOS (~/Library/Application Support/Claude/), and Windows (%APPDATA%\Claude\claude_desktop_config.json).
Code runs in isolated Docker containers with resource limits, separate stdout/stderr streams, read-only project file mounts, and automatic container cleanup after execution.

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