Node.js Sandbox MCP Server

Node.js Sandbox MCP Server

Run ephemeral, containerized JavaScript code via Model Context Protocol.

133
Stars
25
Forks
133
Watchers
12
Issues
Node.js Sandbox MCP Server provides an implementation of the Model Context Protocol (MCP) for safe and isolated JavaScript code execution in ephemeral Docker containers. It supports on-the-fly npm dependency installation, execution of shell commands, and the management of Node.js environments with resource limits. The server can be integrated with clients like Claude Desktop and is available as a Docker image or via NPX for rapid deployment.

Key Features

Isolated Node.js execution in ephemeral Docker containers
On-the-fly npm dependency installation per job
Ability to run arbitrary shell commands inside containers
Execution and stdout capture of ES module JavaScript scripts
Detached mode for persistent, long-running processes
Automatic resource limitation (CPU, memory)
Clean teardown of containers after execution
Docker and NPX deployment options
Customizable output directory mounting
Integration with clients such as Claude Desktop

Use Cases

Safely running untrusted or user-submitted JavaScript code
Generating output files such as QR codes from scripts
Testing Node.js scripts with dynamically installed dependencies
Automated grading or evaluation of JavaScript code submissions
Creating ephemeral, sandboxed development environments
Running server processes in a controlled, persistent context
Enabling script-based workflows in AI and chat-integrated tools
Building programmable automation pipelines on user input
Conducting security or vulnerability testing in an isolated context
Prototyping and debugging Node.js code in a managed, containerized setup

README

🐢🚀 Node.js Sandbox MCP Server

Node.js server implementing the Model Context Protocol (MCP) for running arbitrary JavaScript in ephemeral Docker containers with on‑the‑fly npm dependency installation.

Website Preview

👉 Look at the official website

📦 Available on Docker Hub

Features

  • Start and manage isolated Node.js sandbox containers
  • Execute arbitrary shell commands inside containers
  • Install specified npm dependencies per job
  • Run ES module JavaScript snippets and capture stdout
  • Tear down containers cleanly
  • Detached Mode: Keep the container alive after script execution (e.g. for long-running servers)

Note: Containers run with controlled CPU/memory limits.

Explore Cool Use Cases

If you want ideas for cool and powerful ways to use this library, check out the use cases section on the website It contains a curated list of prompts, examples, and creative experiments you can try with the Node.js Sandbox MCP Server.

⚠️ Prerequisites

To use this MCP server, Docker must be installed and running on your machine.

Tip: Pre-pull any Docker images you'll need to avoid delays during first execution.

Example recommended images:

  • node:lts-slim
  • mcr.microsoft.com/playwright:v1.55.0-noble
  • alfonsograziano/node-chartjs-canvas:latest

Getting started

In order to get started with this MCP server, first of all you need to connect it to a client (for example Claude Desktop).

Once it's running, you can test that it's fully working with a couple of test prompts:

  • Validate that the tool can run:

    markdown
    Create and run a JS script with a console.log("Hello World")
    

    This should run a console.log and in the tool response you should be able to see Hello World.

  • Validate that you can install dependencies and save files

    markdown
    Create and run a JS script that generates a QR code for the URL `https://nodejs.org/en`, and save it as `qrcode.png` **Tip:** Use the `qrcode` package.
    

    This should create a file in your mounted directory (for example the Desktop) called "qrcode.png"

Usage with Claude Desktop

Add this to your claude_desktop_config.json: You can follow the Official Guide to install this MCP server

json
{
  "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",
        "-e",
        "SANDBOX_MEMORY_LIMIT=512m", // optional
        "-e",
        "SANDBOX_CPU_LIMIT=0.75", // optional
        "mcp/node-code-sandbox"
      ]
    }
  }
}

or with NPX:

json
{
  "mcpServers": {
    "node-code-sandbox-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "node-code-sandbox-mcp"],
      "env": {
        "FILES_DIR": "/Users/alfonsograziano/Desktop/node-sandbox",
        "SANDBOX_MEMORY_LIMIT": "512m", // optional
        "SANDBOX_CPU_LIMIT": "0.75" // optional
      }
    }
  }
}

Note: Ensure your working directory points to the built server, and Docker is installed/running.

Docker

Run the server in a container (mount Docker socket if needed), and pass through your desired host output directory as an env var:

shell
# Build locally if necessary
# docker build -t mcp/node-code-sandbox .

docker run --rm -it \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -v "$HOME/Desktop/sandbox-output":"/root" \
  -e FILES_DIR="$HOME/Desktop/sandbox-output" \
  -e SANDBOX_MEMORY_LIMIT="512m" \
  -e SANDBOX_CPU_LIMIT="0.5" \
  mcp/node-code-sandbox stdio

This bind-mounts your host folder into the container at the same absolute path and makes FILES_DIR available inside the MCP server.

Ephemeral usage – no persistent storage

bash
docker run --rm -it \
  -v /var/run/docker.sock:/var/run/docker.sock \
  alfonsograziano/node-code-sandbox-mcp stdio

Usage with VS Code

Quick install buttons (VS Code & Insiders):

Install js-sandbox-mcp (NPX) Install js-sandbox-mcp (Docker)

Manual configuration: Add to your VS Code settings.json or .vscode/mcp.json:

json
"mcp": {
    "servers": {
        "js-sandbox": {
            "command": "docker",
            "args": [
                "run",
                "-i",
                "--rm",
                "-v", "/var/run/docker.sock:/var/run/docker.sock",
                "-v", "$HOME/Desktop/sandbox-output:/root", // optional
                "-e", "FILES_DIR=$HOME/Desktop/sandbox-output",  // optional
                "-e", "SANDBOX_MEMORY_LIMIT=512m",
                "-e", "SANDBOX_CPU_LIMIT=1",
                "mcp/node-code-sandbox"
              ]
        }
    }
}

API

Tools

run_js_ephemeral

Run a one-off JS script in a brand-new disposable container.

Inputs:

  • image (string, optional): Docker image to use (default: node:lts-slim).
  • code (string, required): JavaScript source to execute.
  • dependencies (array of { name, version }, optional): NPM packages and versions to install (default: []).

Behavior:

  1. Creates a fresh container.
  2. Writes your index.js and a minimal package.json.
  3. Installs the specified dependencies.
  4. Executes the script.
  5. Tears down (removes) the container.
  6. Returns the captured stdout.
  7. If your code saves any files in the current directory, these files will be returned automatically.
    • Images (e.g., PNG, JPEG) are returned as image content.
    • Other files (e.g., .txt, .json) are returned as resource content.
    • Note: the file saving feature is currently available only in the ephemeral tool.

Tip: To get files back, simply save them during your script execution.

Example Call:

jsonc
{
  "name": "run_js_ephemeral",
  "arguments": {
    "image": "node:lts-slim",
    "code": "console.log('One-shot run!');",
    "dependencies": [{ "name": "lodash", "version": "^4.17.21" }],
  },
}

Example to save a file:

javascript
import fs from 'fs/promises';

await fs.writeFile('hello.txt', 'Hello world!');
console.log('Saved hello.txt');

This will return the console output and the hello.txt file.

sandbox_initialize

Start a fresh sandbox container.

  • Input:
    • image (string, optional, default: node:lts-slim): Docker image for the sandbox
    • port (number, optional): If set, maps this container port to the host
  • Output: Container ID string

sandbox_exec

Run shell commands inside the running sandbox.

  • Input:
    • container_id (string): ID from sandbox_initialize
    • commands (string[]): Array of shell commands to execute
  • Output: Combined stdout of each command

run_js

Install npm dependencies and execute JavaScript code.

  • Input:

    • container_id (string): ID from sandbox_initialize
    • code (string): JS source to run (ES modules supported)
    • dependencies (array of { name, version }, optional, default: []): npm package names → semver versions
    • listenOnPort (number, optional): If set, leaves the process running and exposes this port to the host (Detached Mode)
  • Behavior:

    1. Creates a temp workspace inside the container
    2. Writes index.js and a minimal package.json
    3. Runs npm install --omit=dev --ignore-scripts --no-audit --loglevel=error
    4. Executes node index.js and captures stdout, or leaves process running in background if listenOnPort is set
    5. Cleans up workspace unless running in detached mode
  • Output: Script stdout or background execution notice

sandbox_stop

Terminate and remove the sandbox container.

  • Input:
    • container_id (string): ID from sandbox_initialize
  • Output: Confirmation message

search_npm_packages

Search for npm packages by a search term and get their name, description, and a README snippet.

  • Input:

    • searchTerm (string, required): The term to search for in npm packages. Should contain all relevant context. Use plus signs (+) to combine related terms (e.g., "react+components" for React component libraries).
    • qualifiers (object, optional): Optional qualifiers to filter the search results:
      • author (string, optional): Filter by package author name
      • maintainer (string, optional): Filter by package maintainer name
      • scope (string, optional): Filter by npm scope (e.g., "@vue" for Vue.js packages)
      • keywords (string, optional): Filter by package keywords
      • not (string, optional): Exclude packages matching this criteria (e.g., "insecure")
      • is (string, optional): Include only packages matching this criteria (e.g., "unstable")
      • boostExact (string, optional): Boost exact matches for this term in search results
  • Behavior:

    1. Searches the npm registry using the provided search term and qualifiers
    2. Returns up to 5 packages sorted by popularity
    3. For each package, provides name, description, and README snippet (first 500 characters)
  • Output: JSON array containing package details with name, description, and README snippet

Usage Tips

  • Session-based tools (sandbox_initializerun_jssandbox_stop) are ideal when you want to:
    • Keep a long-lived sandbox container open.
    • Run multiple commands or scripts in the same environment.
    • Incrementally install and reuse dependencies.
  • One-shot execution with run_js_ephemeral is perfect for:
    • Quick experiments or simple scripts.
    • Cases where you don't need to maintain state or cache dependencies.
    • Clean, atomic runs without worrying about manual teardown.
  • Detached mode is useful when you want to:
    • Spin up servers or long-lived services on-the-fly
    • Expose and test endpoints from running containers

Choose the workflow that best fits your use-case!

Build

Compile and bundle:

shell
npm install
npm run build

License

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Star History

Star History Chart

Repository Owner

Repository Details

Language TypeScript
Default Branch master
Size 3,779 KB
Contributors 6
MCP Verified Nov 11, 2025

Programming Languages

TypeScript
94.69%
JavaScript
4.16%
Dockerfile
0.99%
HTML
0.13%
CSS
0.02%

Tags

Join Our Newsletter

Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.

We respect your privacy. Unsubscribe at any time.

Related MCPs

Discover similar Model Context Protocol servers

  • mcp-code-runner

    mcp-code-runner

    A Docker-based code runner implementing the MCP protocol

    mcp-code-runner is a code execution service built on top of the Model Context Protocol (MCP). It enables users to execute code securely within Docker containers and retrieve the execution results. The tool is designed to support code execution use cases while adhering to the MCP standard for interoperability. A local Docker environment is required for operation.

    • 14
    • MCP
    • axliupore/mcp-code-runner
  • E2B MCP Server

    E2B MCP Server

    Add code interpretation to Claude Desktop apps with E2B Sandbox.

    E2B MCP Server provides code interpreting capabilities for the Claude Desktop application through integration with the E2B Sandbox. It offers both JavaScript and Python editions for flexibility in development. The solution can be easily installed via the Smithery tool, streamlining setup and integration. The server enables seamless execution and management of code within AI-powered desktop environments.

    • 346
    • MCP
    • e2b-dev/mcp-server
  • CMD MCP Server

    CMD MCP Server

    Execute CMD commands via the Model Context Protocol with cross-platform and SSH support.

    CMD MCP Server is an implementation of the Model Context Protocol (MCP) for executing CMD commands on Windows and Linux systems, with additional support for SSH connections. It enables seamless integration of command-line operations with MCP-compatible applications, leveraging the official MCP SDK. Written in TypeScript for cross-platform compatibility, it allows programmatic execution, configuration, and extension of CMD operations through standardized protocols. The server is designed for easy installation, robust configuration, and developer-friendly extension.

    • 22
    • MCP
    • PhialsBasement/CMD-MCP-Server
  • MCP Shell Server

    MCP Shell Server

    A secure, configurable shell command execution server implementing the Model Context Protocol.

    MCP Shell Server provides secure remote execution of whitelisted shell commands via the Model Context Protocol (MCP). It supports standard input, command output retrieval, and enforces strict safety checks on command operations. The tool allows configuration of allowed commands and execution timeouts, and can be integrated with platforms such as Claude.app and Smithery. With robust security assessments and flexible deployment methods, it facilitates controlled shell access for AI agents.

    • 153
    • MCP
    • tumf/mcp-shell-server
  • mcp-server-docker

    mcp-server-docker

    Natural language management of Docker containers via Model Context Protocol.

    mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

    • 648
    • MCP
    • ckreiling/mcp-server-docker
  • mcp-v8

    mcp-v8

    Expose a secure V8 JavaScript runtime to AI agents via the Model Context Protocol

    mcp-v8 is a Rust-based server that implements the Model Context Protocol, providing a secure and isolated V8 JavaScript runtime for AI agents like Claude and Cursor. It supports persistent heap snapshots using S3 or a local filesystem and offers both stateless and stateful execution modes. The server is easily configurable, supporting multiple transports such as stdio, HTTP, and Server-Sent Events for flexible integration. Designed for modern AI development environments, it enables seamless context handling and interoperability for agent tools.

    • 23
    • MCP
    • r33drichards/mcp-js
  • Didn't find tool you were looking for?

    Be as detailed as possible for better results