What are the prerequisites?
Docker must be installed and running on your machine. Pre‑pulling images like `node:lts-slim` is recommended to avoid delays.
@alfonsograziano
基本信息
A Node.js–based Model Context Protocol server that spins up disposable Docker containers to execute arbitrary JavaScript.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"js-sandbox": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"/var/run/docker.sock:/var/run/docker.sock",
"-v",
"$HOME/Desktop/sandbox-output:/root",
"-e",
"FILES_DIR=$HOME/Desktop/sandbox-output",
"alfonsograziano/node-code-sandbox-mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
It is a Node.js server implementing the Model Context Protocol (MCP) for running arbitrary JavaScript in ephemeral Docker containers with on‑the‑fly npm dependency installation. It is for developers and AI agents who need an isolated, sandboxed JavaScript execution environment.
Install and run via Docker or npx, then configure your MCP client (e.g., Claude Desktop, VS Code) with the provided JSON config. Pass environment variables like FILES_DIR, SANDBOX_MEMORY_LIMIT, and SANDBOX_CPU_LIMIT. Use tools such as run_js_ephemeral for one‑off scripts or sandbox_initialize → run_js → sandbox_stop for session‑based workflows.
Docker must be installed and running on your machine. Pre‑pulling images like `node:lts-slim` is recommended to avoid delays.
Save files during script execution in the container’s working directory. Images (PNG, JPEG) are returned as image content; other files (e.g., .txt, .json) are returned as resource content. This feature is available only in the `run_js_ephemeral` tool.
Detached mode keeps the container alive after script execution, allowing long‑running services (e.g., servers) to stay active in the background. Use `run_js` with the `listenOnPort` parameter.
Set environment variables `SANDBOX_MEMORY_LIMIT` (e.g., `512m`) and `SANDBOX_CPU_LIMIT` (e.g., `0.5`) when launching the server.
Yes. The `image` parameter in tools like `run_js_ephemeral` and `sandbox_initialize` accepts any Docker image (default is `node:lts-slim`).
Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.
A code reasoning MCP server, a fork of sequential-thinking
Python sandboxes for llms
MCP server that allow LLM in agent mode builds n8n workflows for you
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
评论