JavaScript Executor MCP Server
This MCP server provides JavaScript execution capabilities with a modern runtime.
Features
The executeJS tool provides:
- Console API:
console.log(),console.error(),console.warn()(built-in) - HTTP Server:
serve()for server creation (viarequire('http/server')) - Fetch API: Modern
fetch()with Request, Response, Headers, FormData (global) - Timers:
setTimeout(),setInterval(),clearTimeout(),clearInterval()(global) - Buffer: Buffer, Blob, File APIs for binary data handling (global)
- Crypto: Cryptographic functions - hashing, encryption, HMAC (via
require('crypto')) - Cache: In-memory caching with TTL support (via
require('cache')) - Additional modules: encoding (global), url (global)
Getting Started
Installation
Using Go Install
go install github.com/mark3labs/codebench-mcp@latest
Usage
As a standalone server
codebench-mcp
With module configuration
# Enable only specific modules
codebench-mcp --enabled-modules http,fetch
# Disable specific modules (enable all others)
codebench-mcp --disabled-modules timers
# Show help
codebench-mcp --help
Available modules:
http- HTTP server creation and client requests (require(‘http/server’))fetch- Modern fetch API with Request, Response, Headers, FormData (available globally)timers- setTimeout, setInterval, clearTimeout, clearInterval (available globally)buffer- Buffer, Blob, File APIs for binary data handling (available globally)cache- In-memory caching with TTL support (require(‘cache’))crypto- Cryptographic functions (hashing, encryption, HMAC) (require(‘crypto’))encoding- TextEncoder, TextDecoder for text encoding/decoding (available globally)url- URL and URLSearchParams APIs (available globally)
All modules are enabled by default. You can selectively enable or disable modules using CLI flags.
Note: The executeJS tool description dynamically updates to show only the enabled modules and includes detailed information about what each module provides.
As a library in your Go project
package main
import (
"log"
"github.com/mark3labs/codebench-mcp/server"
"github.com/mark3labs/mcp-go/server"
)
func main() {
// Create a new JavaScript executor server
jss, err := server.NewJSServer()
if err != nil {
log.Fatalf("Failed to create server: %v", err)
}
// Serve requests
if err := server.ServeStdio(jss); err != nil {
log.Fatalf("Server error: %v", err)
}
}
Using InProcessTransport
package main
import (
"context"
"log"
"github.com/mark3labs/codebench-mcp/server"
"github.com/mark3labs/mcp-go/client"
"github.com/mark3labs/mcp-go/mcp"
)
func main() {
// Create the JS server with custom module configuration
config := server.ModuleConfig{
EnabledModules: []string{"fetch", "crypto", "buffer"},
}
jsServer, err := server.NewJSServerWithConfig(config)
if err != nil {
log.Fatalf("Failed to create server: %v", err)
}
// Create an in-process client
mcpClient, err := client.NewInProcessClient(jsServer)
if err != nil {
log.Fatalf("Failed to create client: %v", err)
}
defer mcpClient.Close()
// Start the client
if err := mcpClient.Start(context.Background()); err != nil {
log.Fatalf("Failed to start client: %v", err)
}
// Initialize the client
initRequest := mcp.InitializeRequest{}
initRequest.Params.ProtocolVersion = mcp.LATEST_PROTOCOL_VERSION
initRequest.Params.ClientInfo = mcp.Implementation{
Name: "my-app",
Version: "1.0.0",
}
_, err = mcpClient.Initialize(context.Background(), initRequest)
if err != nil {
log.Fatalf("Failed to initialize: %v", err)
}
// Execute JavaScript code
callRequest := mcp.CallToolRequest{}
callRequest.Params.Name = "executeJS"
callRequest.Params.Arguments = map[string]any{
"code": `
console.log("Hello from JavaScript!");
const result = Math.sqrt(16);
console.log("Square root of 16 is:", result);
result;
`,
}
result, err := mcpClient.CallTool(context.Background(), callRequest)
if err != nil {
log.Fatalf("Failed to call tool: %v", err)
}
if result.IsError {
log.Printf("JavaScript execution error: %v", result.Content)
} else {
log.Printf("JavaScript execution result: %v", result.Content)
}
}
Usage with Model Context Protocol
To integrate this server with apps that support MCP:
{
"mcpServers": {
"javascript": {
"command": "codebench-mcp"
}
}
}
Docker
Running with Docker
You can run the JavaScript Executor MCP server using Docker:
docker run -i --rm ghcr.io/mark3labs/codebench-mcp:latest
Docker Configuration with MCP
To integrate the Docker image with apps that support MCP:
{
"mcpServers": {
"javascript": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/mark3labs/codebench-mcp:latest"
]
}
}
}
Tool Reference
executeJS
Execute JavaScript code with a modern runtime environment.
Parameters:
code(required): JavaScript code to execute
Example:
console.log("Hello, World!");
// Basic JavaScript execution
const result = 2 + 3;
console.log('Result:', result);
// Fetch API (available globally when enabled)
const response = await fetch('https://api.example.com/data');
const data = await response.json();
// HTTP server (require import)
const serve = require('http/server');
serve(8000, async (req) => {
return new Response('Hello World');
});
// Cache operations (require import)
const cache = require('cache');
cache.set('key', 'value');
console.log(cache.get('key'));
// Crypto operations (require import)
const crypto = require('crypto');
const hash = crypto.md5('hello').hex();
console.log('MD5 hash:', hash);
// Timers (available globally)
setTimeout(() => console.log('Hello after 1 second'), 1000);
// Buffer operations (available globally)
const buffer = Buffer.from('hello', 'utf8');
console.log(buffer.toString('base64'));
// URL operations (available globally)
const url = new URL('https://example.com/path?param=value');
console.log('Host:', url.host);
console.log('Pathname:', url.pathname);
Limitations
- No fs or process modules - File system and process APIs are not available in the runtime
- Module access varies - Some modules are global (fetch, http), others may need require()
- Each execution creates a fresh VM - For isolation, each execution starts with a clean state
- Module filtering - Configuration exists but actual runtime filtering not fully implemented
Building
go build -o codebench-mcp .
License
See the LICENSE file for details.
JavaScript Executor
Project Details
- mark3labs/codebench-mcp
- MIT License
- Last Updated: 6/15/2025
Recomended MCP Servers
Chat with your portfolio.
An mcp server that you can use to store and retrieve ideas, prompt templates, personal preferences to use...
Experimental Model Context Protocol server providing access to Autodesk Platform Services API.
A Slack MCP server
A python repl for MCP
OpenDify 是一个将 Dify API 转换为 OpenAI API 格式的代理服务器。它允许使用 OpenAI API 客户端直接与 Dify 服务进行交互。
MCP server for interacting with Penumbra blockchain - providing privacy-preserving tools for chain interaction
The server acts as a bridge between MCP-compatible assistants and Together AI's image generation capabilities.
Linux version of puppeteer





