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MCP server · AI

Sandbox

Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.

55Fair

Scored 2 days ago · breakdown

About Sandbox

Sandbox is an MCP server published by rocket-connect in the AI category: turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.

The repository has 5 stars and 2 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/rocket-connect/mcp-sandbox

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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Releases

0.0.0-alpha.20.0.0-alpha.2
0.0.0-alpha.10.0.0-alpha.1

README

MCP Sandbox

npm version

Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.

🎯 What is MCP Sandbox?

MCP Sandbox automatically converts JavaScript modules into MCP (Model Context Protocol) compatible servers, making any JavaScript function accessible to AI systems. It uses VM sandboxing for security, automatic type inference, and generates proper MCP configurations.

✨ Features

  • 🔍 Automatic Reflection - Analyzes JS modules and extracts function signatures
  • 🛡️ Secure Sandboxing - Executes code in isolated VM contexts with timeouts
  • 🧠 Smart Type Inference - Detects parameter types from defaults and naming patterns
  • 📚 JSDoc Integration - Extracts documentation from function comments
  • 📡 MCP Protocol - Full JSON-RPC 2.0 and SSE support
  • 🌐 REST API - Legacy REST endpoints for easy testing
  • ⚙️ TypeScript - Full type safety and IntelliSense support

🚀 Quick Start

Installation

# Install globally for CLI usage
npm install -g @mcp-sandbox/cli

# Or use in a project
npm install @mcp-sandbox/core @mcp-sandbox/cli

Basic Usage

# Start MCP server for a JavaScript module
$ mcp-sandbox start ./math-utils.js

🏗️  Initializing MCP Sandbox...
🔍 Reflecting module
📊 Discovered 2 tools:
  - circleArea: Calculate area of a circle
  - fibonacci: Generate Fibonacci sequence
🚀 MCP Sandbox server running at http://localhost:3000
📋 MCP Tools: http://localhost:3000/mcp/tools
⚡ MCP Execute: http://localhost:3000/mcp/execute
🔄 MCP SSE: http://localhost:3000/sse
📡 MCP JSON-RPC: http://localhost:3000/mcp/jsonrpc
⚙️  MCP Config: http://localhost:3000/mcp-config
💡 For MCP Inspector, use: http://localhost:3000/sse

Example Module

/**
 * Calculate the area of a circle
 * @param radius The radius of the circle
 */
function circleArea(radius = 1) {
  return Math.PI * radius * radius;
}

/**
 * Generate fibonacci sequence
 * @param count Number of fibonacci numbers to generate
 */
function fibonacci(count = 10) {
  const seq = [0, 1];
  for (let i = 2; i < count; i++) {
    seq[i] = seq[i - 1] + seq[i - 2];
  }
  return seq.slice(0, count);
}

module.exports = { circleArea, fibonacci };

Running mcp-sandbox start math-utils.js automatically:

  1. 🔍 Reflects the module and discovers functions
  2. 📊 Generates type schemas from parameters
  3. 🚀 Starts MCP server at http://localhost:3000
  4. 💾 Creates mcp-config.json for MCP clients

📡 API Endpoints

The server exposes both MCP and REST endpoints:

MCP Protocol (JSON-RPC 2.0)

  • POST /mcp/jsonrpc - Main MCP endpoint
  • GET /sse - Server-Sent Events for real-time updates

REST API (for testing)

  • GET /tools - List available tools
  • POST /execute/:toolName - Execute a specific tool
  • GET /mcp-config - Get MCP server configuration
  • GET /health - Health check

Example Usage

# List tools
curl http://localhost:3000/tools

# Execute function via REST
curl -X POST http://localhost:3000/execute/circleArea \
  -H "Content-Type: application/json" \
  -d '{"args": {"radius": 5}}'

# MCP JSON-RPC call
curl -X POST http://localhost:3000/mcp/jsonrpc \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "fibonacci", "arguments": {"count": 8}}}'

🏗️ Programmatic Usage

import { MCPSandbox } from '@mcp-sandbox/core';

const sandbox = new MCPSandbox({
  port: 3000,
  timeout: 5000,
});

// Load and analyze module
await sandbox.loadModule('./my-module.js');

// Start MCP server
await sandbox.start();

// Execute tools directly
const result = await sandbox.executeTool('myFunction', {
  param1: 'value1',
});

📚 Example Modules Included

The repository includes several example modules demonstrating different use cases:

Mathematical Operations (examples/math-utils.js)

  • Circle area calculation
  • Fibonacci sequence generation
  • Compound interest calculation
  • Prime number checking
  • Degree/radian conversion
  • Factorial calculation

String Manipulation (examples/string-utils.js)

  • Title case conversion
  • Random string generation
  • Word counting
  • Palindrome detection
  • String reversal
  • Capitalization

Array Operations (examples/array-utils.js)

  • Array shuffling (Fisher-Yates)
  • Unique value extraction
  • Array chunking
  • Set operations (intersection, difference)
  • Array flattening

Filesystem Operations (examples/filesystem-utils.js)

  • File reading/writing (async)
  • Directory listing and creation
  • File searching with patterns
  • Disk usage calculation
  • File copying and deletion
  • Line-by-line file reading

🛠️ Development

# Clone repository
git clone https://github.com/danstarns/mcp-sandbox.git
cd mcp-sandbox

# Install dependencies
pnpm install

# Build all packages
pnpm build

# Run examples
pnpm example:math          # Math utilities
pnpm example:filesystem    # File operations
pnpm example:string        # String manipulation

# Lint and format
pnpm lint && pnpm format

🔧 Configuration Options

CLI Options

mcp-sandbox start <module> [options]

Options:
  -p, --port <port>      Server port (default: 3000)
  -h, --host <host>      Server host (default: localhost)
  -t, --timeout <ms>     Execution timeout (default: 5000ms)
  -o, --output <file>    Output MCP configuration to file

Programmatic Options

interface SandboxOptions {
  port?: number; // Server port (default: 3000)
  host?: string; // Server host (default: 'localhost')
  timeout?: number; // Execution timeout (default: 5000ms)
  maxMemory?: number; // Memory limit (default: 64MB)
}

🔒 Security Features

  • VM Isolation - Code runs in separate V8 contexts
  • Execution Timeouts - Configurable time limits prevent infinite loops
  • Memory Limits - Prevent memory exhaustion attacks
  • Controlled Requires - Limited module access in sandbox
  • Input Validation - Parameter type checking and validation

🎮 Testing with MCP Inspector

  1. Start your MCP server: mcp-sandbox start examples/math-utils.js
  2. Open MCP Inspector
  3. Set Transport Type to "Streamable HTTP"
  4. Enter URL: http://localhost:3000/mcp/jsonrpc
  5. Connect and test your tools!

📦 Packages

This is a monorepo containing multiple packages:

🤝 Contributing

Contributions are welcome! Please read our Contributing Guide and check out the open issues.

📄 License

MIT License - see LICENSE for details.

🔗 Links

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Sandbox

How do I install Sandbox?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Sandbox safe to use with an AI agent?

Its trust score is 55 out of 100 (fair). It passes 2 of the 3 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Sandbox still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.