claudecodex

claudecodexはTypeScriptで構築されたコード生成ツールであり、開発者が迅速に高品質なコードを作成する手助けをします。自動化されたワークフローを通じて、開発の生産性を向上させることができます。特に、APIとの連携やデータ処理に強みを持ち、さまざまなプロジェクトに対応可能です。

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README

Status Node.js TypeScript License AI Powered

ClaudeCodex

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ClaudeCodex is the first open-source project that turns the most powerful code agents, such as ANTHROPIC ClaudeCode and OpenAI Codex into background agents, accessible via REST API, MCP, and an interactive frontend

✨ Features

Code Generation GitHub Integration MCP Protocol Docker Ready

Getting Started
Quick Start (Recommended)

Docker

The fastest way to get ClaudeCodex running is with our pre-built Docker image:

GitHub Authentication (Choose one method):

Option 1: Direct Token

docker run -e GITHUB_TOKEN=[ghp_xxx] \
           -e API_KEY=[sk-...-xxx] \ # Optional
           claudecodex/claudecodex:v1.0.1-alpha

Option 2: OAuth Flow


docker run -e GITHUB_CLIENT_ID=[your_client_id] \
           -e GITHUB_CLIENT_SECRET=[your_client_secret] \
           -e GITHUB_REDIRECT_URI=http://localhost:3000 \
           -e API_KEY=[sk-...-xxx] \ # Optional 
           claudecodex/claudecodex:v1.0.1-alpha

Optional Environment Variables:

  • API_KEY: Your Anthropic Claude or OpenAI API key (auto-detects provider)
  • GITHUB_TOKEN: GitHub access token (alternative to providing it in requests)

🤖 Supported AI Models:

  • Anthropic: claude-sonnet-4-20250514 (default), claude-opus-4-20250514, claude-3-7-sonnet-20250219
  • OpenAI: codex-mini-latest (default), o4-mini
Production
Prerequisites

Docker

With Docker Compose (Recommended)
  1. Clone the repository:

    git clone https://github.com/michael-elkabetz/claudecodex.git
    cd claudecodex
    
  2. Set up environment variables:

    Update docker-compose.yml with the following environment variables:

    VITE_GITHUB_CLIENT_ID=[VITE_GITHUB_CLIENT_ID]
    VITE_GITHUB_REDIRECT_URI=[VITE_GITHUB_REDIRECT_URI]
    GITHUB_CLIENT_SECRET=[GITHUB_CLIENT_SECRET]
    GITHUB_TOKEN=ghp_xxx
    API_KEY=[your_anthropic_or_openai_api_key]  # Optional
    
  3. Deploy with Docker Compose:

    # Build and start all services
    docker-compose up --build -d
    
    # View logs
    docker-compose logs -f
    
  4. Access the services:

With Docker (Frontend + Backend)
  1. Clone the repository:

    git clone https://github.com/michael-elkabetz/claudecodex.git
    cd claudecodex
    
  2. Set up environment variables:

    Update the main Dockerfile with the following environment variables:

    VITE_GITHUB_CLIENT_ID=[VITE_GITHUB_CLIENT_ID]
    VITE_GITHUB_REDIRECT_URI=[VITE_GITHUB_REDIRECT_URI]
    GITHUB_CLIENT_SECRET=[GITHUB_CLIENT_SECRET]
    GITHUB_TOKEN=ghp_xxx
    API_KEY=[your_anthropic_or_openai_api_key]  # Optional
    

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3. Build and deploy:

```bash
docker build -t ClaudeCodex-backend .
docker run -d -p 80:80 ClaudeCodex-backend
```
Development
Quick Setup
npm install
npm run dev

# Individual services
npm run dev:frontend
npm run dev:backend
npm run dev:mcp
Development URLs
🚀 Docker Deployment
Using Docker Compose (Recommended)
# Production deployment
docker-compose up --build -d

# Development with hot reload
docker-compose -f docker-compose.dev.yml up --build
Individual Services
# Frontend
docker build -f frontend/Dockerfile -t claudecodex-frontend ./frontend
docker run -d -p 80:80 claudecodex-frontend

# Backend
docker build -f backend/Dockerfile -t ClaudeCodex-backend ./backend
docker run -d -p 3000:3000 ClaudeCodex-backend

# MCP Server
docker build -f mcp/Dockerfile -t ClaudeCodex-mcp ./mcp
docker run -d -p 6213:6213 ClaudeCodex-mcp
Docker Compose Services
Service Port Description
frontend 80 React TypeScript UI
backend 3000 Express.js REST API
mcp 6213 Model Context Protocol Server
🔌 MCP Integration
Connecting to MCP Server

The MCP server runs on port 6213 and provides AI-powered code generation capabilities.

Connection URL: http://localhost:6213

MCP Inspector Setup

Inspector

  1. Start the MCP Inspector:

    npm run inspector
    
  2. Open Inspector UI:

  3. Configure Connection:

    • Transport Type: Streamable HTTP
    • MCP Server URL: http://localhost:6213
  4. Authentication:

    • Copy the MCP_PROXY_AUTH_TOKEN from the inspector logs
    • Paste it in the Proxy Session Token field
    • Click Connect
MCP Tools Available
  • Execute: Complete AI-powered workflow (code generation, branch creation, PR automation)
    • Integrates with GitHub repositories
    • Supports Anthropic Claude and OpenAI GPT
    • Automated branch and PR creation
📖 API Documentation
Backend Endpoints

Swagger

  • Swagger UI: http://localhost:3000/api-docs
  • Health Check: GET /api/health
  • AI Code Generation: POST /api/dev/execute
  • GitHub Authentication: POST /api/github/auth
  • Repository Branches: POST /api/github/branches
MCP Protocol

MCP

  • Server Info: GET /
  • Tools List: GET /tools
  • Generate: POST /tools/generate
🛠️ Development
Tech Stack

Frontend Backend MCP

Project Structure
ClaudeCodex/
├── frontend/          # React TypeScript UI
├── backend/           # Express.js API
├── mcp/              # MCP Server
├── docker-compose.yml # Multi-service deployment
└── README.md         # You are here
Available Scripts
npm run dev           # Start all services
npm run build         # Build all services
npm run test          # Run all tests
npm run lint          # Lint all projects
npm run clean         # Clean build artifacts

npm run dev:frontend  # Frontend development
npm run dev:backend   # Backend development
npm run dev:mcp       # MCP server development
🤝 Contributing

Contributors PRs

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request
📄 License

License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

Claude OpenAI GitHub

  • Thanks to Anthropic for Claude Code
  • Thanks to OpenAI for Codex
  • Thanks to the open-source community

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