Code Runner MCP

Let AI execute JavaScript/Python code with any package imports!

Core Value

• Secure Sandbox: Isolated execution environment protecting your host system
• Install-on-Demand: Dynamically import any npm/PyPI packages
• Reduce Hallucinations: Let AI verify logic by executing code
• Quick Validation: Test if packages meet your needs without local installation

Installation

Agent Skill — skills.sh (Recommended for AI agents)

Install the bundled agent skill so your AI assistant knows how to use code-runner-mcp out of the box:

npx skills add mcpc-tech/code-runner-mcp

This installs the skill into your project's .agent/skills/ directory. Compatible with Claude Code, Cursor, Windsurf, GitHub Copilot, VS Code, and more.

JSR

deno add jsr:@mcpc/code-runner-mcp

Package: @mcpc/code-runner-mcp

npm

npm install @mcpc-tech/code-runner-mcp

Package: @mcpc-tech/code-runner-mcp

Quick Start

Option 1: Using Deno (Recommended)

{
  "mcpServers": {
    "code-runner": {
      "command": "deno",
      "args": ["run", "--allow-all", "jsr:@mcpc/code-runner-mcp/bin"],
      "env": {
        "DENO_PERMISSION_ARGS": "--allow-net",
        "NODEFS_ROOT": "/tmp",
        "NODEFS_MOUNT_POINT": "/tmp"
      },
      "transportType": "stdio"
    }
  }
}

Option 2: Using Node.js

{
  "mcpServers": {
    "code-runner": {
      "command": "npx",
      "args": [
        "-y",
        "deno",
        "run",
        "--allow-all",
        "npm:@mcpc-tech/code-runner-mcp@latest"
      ],
      "env": {
        "DENO_PERMISSION_ARGS": "--allow-net",
        "NODEFS_ROOT": "/tmp",
        "NODEFS_MOUNT_POINT": "/tmp"
      },
      "transportType": "stdio"
    }
  }
}

Note: Uses npx to install and run Deno on demand — no separate Deno installation required. --experimental-wasm-stack-switching cannot be passed via NODE_OPTIONS (Node.js rejects it), but works as a direct CLI flag.

Use Cases

JavaScript/TypeScript

// Import npm packages directly to test functionality
import { z } from "npm:zod";
import { serve } from "jsr:@std/http";

const schema = z.object({ name: z.string() });
console.log(schema.parse({ name: "test" }));

Python

# Dynamically install and use Python packages
import requests
response = requests.get("https://api.github.com")
print(f"Status code: {response.status_code}")

Package Mapping

When import names differ from PyPI package names, use the packages parameter:

# sklearn -> scikit-learn, PIL -> Pillow
from sklearn.datasets import load_iris
data = load_iris()
print(data.feature_names)

Use packages: {"sklearn": "scikit-learn"}

File System Access

# Access host file system (via NODEFS_ROOT and NODEFS_MOUNT_POINT)
import os
files = os.listdir('/tmp')  # List files at the mount point
print(f"Found {len(files)} files")

Environment Variables

Variable	Description	Default
ALLOWED_TOOLS	Selectively enable tools: all, python, javascript, js, or comma-separated (e.g., python,javascript)	all
DENO_PERMISSION_ARGS	Additional Deno permissions for JS/TS execution (e.g., --allow-net, --allow-all)	-
NODEFS_ROOT	Host file system root directory path for Python access	-
NODEFS_MOUNT_POINT	Mount point path in Python environment (defaults to NODEFS_ROOT)	-
PYODIDE_PACKAGE_BASE_URL	Custom package download source for Pyodide (e.g., private mirror CDN)	-
PYODIDE_PACKAGE_CACHE_DIR	Custom package cache directory for Pyodide packages (Pyodide v0.28.1+)	-
SILENT	Suppress console log output. Set to "true" or "1" to silence server-side logs (e.g., package install messages)	-

Tool Selection Examples

// Enable only Python
{ "ALLOWED_TOOLS": "python" }

// Enable only JavaScript
{ "ALLOWED_TOOLS": "javascript" }

// Enable both (default)
{ "ALLOWED_TOOLS": "python,javascript" }

Security Features

• Deno Sandbox: Strict permission control with explicit authorization
• Pyodide WASM: WebAssembly isolated environment
• File System Isolation: Controlled host file access

Technical Architecture

• JavaScript/TypeScript: Powered by Deno runtime
• Python: Powered by Pyodide WebAssembly technology
• Package Management: Dynamic installation from npm, JSR, and PyPI

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Issues & Feedback: GitHub Issues
Repository: GitHub Repository