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CloudBase AI Toolkit + Trae

🚀 Trae + CloudBase = Full-stack application from idea to launch in minutes.

GitHub Stars Open Source License

💡 Why choose Trae + CloudBase AI Toolkit? Trae is an emerging AI-native development environment that supports the powerful Builder with MCP feature. Combined with the CloudBase AI Toolkit, it enables you to describe requirements in natural language, with AI automatically generating and deploying full-stack applications to the Tencent Cloud development platform. It is especially suitable for innovative developers who enjoy experimenting with new technologies and pursuing the ultimate AI development experience.

✨ Core Advantages​

🎯 Development Efficiency⚡ Deployment Speed🛡️ Stability and Reliability
AI automatically generates code and architecture
Built-in best practice rules for cloud development
Intelligent error fixing and optimization		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. Configure MCP (See detailed steps below for specific configuration)
# 2. Download AI Rules
# 3. Start Using

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

🔧 Detailed Configuration Guide​

Step 1: Install Trae​

Download and install the Trae development environment from the Trae official website.

Step 2: Configure CloudBase MCP​

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

Add in the MCP configuration of Trae: MCP Reference Documentation

{
  "mcpServers": {
    "cloudbase": {
      "command": "npx",
      "args": ["npm-global-exec@latest", "@cloudbase/cloudbase-mcp@latest"],
      "env": {
        "INTEGRATION_IDE": "Trae"
      }
    }
  }
}

Step 3: Enable AI Rules​

Directly tell Builder with MCP:

Download CloudBase AI rules in the current project

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

Download CloudBase AI rules in the current project, containing only the Trae configuration

Step 4: Start Development​

  1. In the agent selection of Trae, select Builder with MCP
  2. Recommended: Use Claude/DeepSeek V3 or GPT-4 models

Chat with AI:

Log in to CloudBase

🎯 Get Started​

After configuration is complete, tell the AI:

Log in to CloudBase

Then 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.

Builder with MCP mode of Trae supports intelligent architecture design and real-time preview.

🌟 CloudBase AI Toolkit Open-Source Project​

🔥 Join the Open-Source Community​

GitHub CNB Community

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

🛠️ Troubleshooting​

Frequently Asked Questions​

Q: MCP connection failed? A:

  1. Check if the Trae MCP configuration format is correct
  2. Verify the availability of the npx command: npx --version
  3. Restart the Trae application
  4. Check the network connection status

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

  1. Provide complete functional requirements and technical specifications
  2. Use project templates to ensure specification consistency
  3. Implement large-scale projects step by step in modules

For more questions, refer to: Complete FAQ

📚 Related Resources​

💬 Technical Discussions​

WeChat Technical Exchange Group​

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Scan the QR code to join the WeChat technical exchange group

🚀 Get started with Trae + CloudBase AI Toolkit immediately

Get Started | View Templates | GitHub Repository