codex-mcp-server

🥈Silver

Codex MCP Server enables Claude Code to leverage Codex's AI capabilities directly. It is a TypeScript wrapper for OpenAI Codex CLI that allows operations teams to automate code generation, refactoring, and debugging tasks. Integrates with Cursor and other MCP-compatible tools.

168320Updated 1w ago

Intermediate30min to implementautomation

Saves ~135 min per use

Quick InstallView Source

git clone https://github.com/tuannvm/codex-mcp-server.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/tuannvm/codex-mcp-server

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create a Python script using the MCP server wrapper for OpenAI Codex CLI to automate [TASK]. The script should connect to [DATABASE] and generate [OUTPUT]. Ensure the code is well-commented and follows best practices.

Example Output

# Python Script for Automating [TASK] with MCP Server Wrapper

# Import necessary libraries
import requests
import json

# Define the API endpoint for the MCP server wrapper
MCP_ENDPOINT = "http://localhost:5000/api/v1/codex"

# Function to send a request to the MCP server wrapper
def send_to_mcp(prompt):
    headers = {"Content-Type": "application/json"}
    data = json.dumps({"prompt": prompt})
    response = requests.post(MCP_ENDPOINT, headers=headers, data=data)
    return response.json()

# Main function to automate [TASK]
def automate_task():
    # Connect to [DATABASE]
    # Replace with actual database connection code
    # database_connection = connect_to_database([DATABASE])
    
    # Generate [OUTPUT] using the MCP server wrapper
    prompt = f"Generate [OUTPUT] based on data from [DATABASE]"
    result = send_to_mcp(prompt)
    
    # Process the result
    # Replace with actual processing code
    # processed_result = process_result(result)
    
    return result

# Execute the main function
if __name__ == "__main__":
    result = automate_task()
    print(result)