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CloudBase AI Toolkit + OpenAI Codex CLI

🚀 OpenAI Codex CLI + CloudBase = Full-stack application from idea to launch in minutes.

GitHub Stars Open Source License

💡 Why choose OpenAI Codex CLI + CloudBase AI Toolkit? OpenAI Codex CLI is a command-line tool based on the OpenAI Codex model, supporting the MCP (Model Context Protocol) protocol, with powerful code generation and comprehension capabilities. Combined with the CloudBase AI Toolkit, it allows you to describe requirements in natural language, and AI automatically generates and deploys full-stack applications to the Tencent Cloud development platform. It is especially suitable for command-line developers and scenarios requiring efficient AI-assisted development.

✨ Core Advantages​

🎯 Development Efficiency⚡ Deployment Speed🛡️ Stability and Reliability
AI automatically generates code and architecture
Built-in best practices for cloud development
Efficient command-line interaction		One-click deployment to Tencent Cloud development
Domestic CDN accelerated access
Serverless architecture with no Ops required		Platform verified by 3.3 million developers
Enterprise-grade security and stability
Comprehensive monitoring and logging system

🚀 5-Minute Quick Start​

Select pre-configured project templates, ready to use out-of-the-box:

Method 2: Integrate with existing projects​

If you already have a project, you can integrate in just 3 steps:

# 1. Install OpenAI Codex CLI
# 2. Configure MCP (See detailed steps below for specific configuration)
# 3. Start Codex CLI and begin using it

After configuration is complete, tell the AI: "Log in to CloudBase" to begin!

🔧 Detailed Configuration Guide​

Step 1: Install OpenAI Codex CLI​

npm install -g @openai/codex

Step 2: Configure CloudBase MCP​

[!TIP] If the number of tools remains 0 after installation, please refer to the FAQ

If using a template project, the MCP configuration is pre-configured. If not starting from a template, there are two configuration methods:

Create the .codex/config.toml file in the project root directory:

[mcp_servers.cloudbase]
command = "npx"
args = ["npm-global-exec@latest", "@cloudbase/cloudbase-mcp@latest"]
env = { INTEGRATION_IDE = "CodeX" }

Then specify the configuration file when starting:

codex --config .codex/config.toml

Method 2: Global Configuration​

Create the ~/.codex/config.toml file in the user's home directory:

[mcp_servers.cloudbase]
command = "npx"
args = ["@cloudbase/cloudbase-mcp@latest"]

Step 3: Enable AI Rules​

The template includes the AGENTS.md file, and OpenAI Codex CLI will automatically recognize Cloud Development best practices. If not starting from a template, you can have the AI download the Cloud Development rules:

Download CloudBase AI rules in the current project

If you only want to download configuration files related to OpenAI Codex CLI to avoid cluttering your project files, you can specify the IDE type:

Download CloudBase AI rules in the current project, containing only the OpenAI Codex CLI configuration

Step 4: Start Development​

Start OpenAI Codex CLI:

codex

If using the project configuration file:

codex --config .codex/config.toml

Converse with the AI in Codex CLI:

Log in to CloudBase

🎯 Common Commands​

After the configuration is complete, you can start development, for example:

Create an online voting system that supports creating polls, participating in voting, and result statistics, using cloud database for storage, and finally deploy it.

OpenAI Codex CLI has powerful code comprehension capabilities, enabling deep analysis of project structures and generation of high-quality code.

🌟 CloudBase AI Toolkit Open-Source Project​

🔥 Join the Open-Source Community​

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⭐ Star the Project | 🤝 Contribute Code | 💬 Technical Discussion

🛠️ Troubleshooting​

Frequently Asked Questions​

Q: MCP connection failed? A:

  1. Check if the file format of .codex/config.toml is correct
  2. Verify the availability of the npx command: npx --version
  3. Restart the Codex CLI application
  4. Check the network connection status

Q: Project rules not taking effect? A:

  1. Confirm that the AGENTS.md file is in the project root directory
  2. Check if the file content format is correct
  3. Restart Codex CLI

Q: Does the AI-generated code not meet expectations? A:

  1. Describe the functional requirements and technical specifications in detail
  2. Use project templates to ensure specification consistency
  3. Implement complex projects step by step in modules

Q: How to use the project configuration file? A:

  1. Create the .codex/config.toml file in the project root directory
  2. Use codex --config .codex/config.toml at startup
  3. This allows different projects to use different configurations

For more questions, refer to: Complete FAQ

📚 Related Resources​

💬 Technical Discussions​

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🚀 Get started with OpenAI Codex CLI + CloudBase AI Toolkit immediately

Get Started | View Templates | GitHub Repository