
🪐 Go from AI prompt to live app in one click
The bridge that connects your AI IDE (Cursor, Copilot, etc.) directly to Tencent CloudBase
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Found a game-changer for AI coding: one-click deploy from prompt to production
The shortest path from AI prompt to live application
AI programming tools (like Cursor, Copilot) solve the code generation challenge.
However, there's still a gap between "generating code" and "application going live" (deployment, database configuration, CDN, domain setup).
CloudBase MCP (formerly CloudBase AI ToolKit) bridges this gap.
You no longer need:
You only need to use natural language in your AI IDE to complete the entire journey from "idea" to "live".
In AI IDEs that support MCP (Cursor, WindSurf, CodeBuddy, etc.), just add one line of configuration:
{
"mcpServers": {
"cloudbase": {
"command": "npx",
"args": ["@cloudbase/cloudbase-mcp@latest"]
}
}
}
[!TIP] Recommended: CloudBase AI CLI
One-click installation, automatic configuration, supports multiple AI programming tools:
npm install @cloudbase/cli@latest -gAfter installation, run
tcb aito start using
Login to CloudBase
Login to CloudBase
AI will automatically open the login interface and guide environment selection
Start Developing
Build a two-player online Gomoku game website, support online battle, and deploy it
AI will automatically generate code, deploy to the cloud, and return the access link
| Tool | Supported Platform | Guide |
|---|---|---|
| CloudBase AI CLI | CLI | Guide |
| Cursor | Standalone IDE | Guide |
| WindSurf | Standalone IDE, VSCode, JetBrains Plugin | Guide |
| CodeBuddy | Standalone IDE (CloudBase built-in), VS Code, JetBrains, WeChat DevTools | Guide |
| CLINE | VS Code Plugin | Guide |
| GitHub Copilot | VS Code Plugin | Guide |
| Trae | Standalone IDE | Guide |
| Tongyi Lingma | Standalone IDE, VS Code, JetBrains Plugin | Guide |
| RooCode | VS Code Plugin | Guide |
| Baidu Comate | VS Code, JetBrains Plugin | Guide |
| Augment Code | VS Code, JetBrains Plugin | Guide |
| Claude Code | CLI | Guide |
| Gemini CLI | CLI | Guide |
| OpenAI Codex CLI | CLI | Guide |
| OpenCode | CLI | Guide |
| Qwen Code | CLI | Guide |
We're not just "glue code". Our built-in rule library is designed specifically for AI programming, enabling AI to directly generate "deployable" CloudBase best-practice code.
Prompt: Generate a user login feature
- AI automatically generates code following CloudBase standards
- Auto-configure database, cloud functions, security rules
- One-click deploy to cloud
AI-automated MCP deployment flow, AI handles all cloud resource configuration from cloud functions, databases to static websites.
Prompt: Deploy current project to CloudBase
- Auto-detect project type (Web/Mini-program/Backend)
- Intelligent deployment parameter configuration
- Real-time deployment progress display
- Auto-return access link
Deployment error? Don't worry. AI automatically reads logs, analyzes issues, and generates fixes, truly achieving a develop-deploy-debug closed loop.
Prompt: There's an error: xxxx
- AI automatically views cloud function logs
- Analyze error causes
- Generate fix code
- Auto redeploy
Whether it's Web apps, mini-programs, or backend services, AI handles it all for you. You just focus on business logic.
| Application Type | Tech Stack | Deployment Method |
|---|---|---|
| Web Apps | React/Vue/Next.js | Static Hosting + CDN |
| WeChat Mini-Programs | Native/UniApp | Mini-program Publishing |
| Backend Services | Node.js/Python | Cloud Functions/Cloud Run |
Built-in intelligent vector search for CloudBase, WeChat Mini-Program and other professional knowledge bases, making AI understand CloudBase better.
Prompt: How to use cloud database to achieve real-time data synchronization?
- Intelligent search CloudBase knowledge base
- Return relevant documentation and best practices
- Provide code examples
Support /spec and /no_spec commands, intelligently choose based on task complexity.
/spec - Complete workflow (Requirements → Design → Tasks → Implementation)
/no_spec - Fast iteration (Direct implementation)
# Install
npm install @cloudbase/cli@latest -g
# Use
tcb ai
Add MCP configuration according to your AI IDE:
Add to .cursor/mcp.json:
{
"mcpServers": {
"cloudbase": {
"command": "npx",
"args": ["@cloudbase/cloudbase-mcp@latest"]
}
}
}
Add to .windsurf/settings.json:
{
"mcpServers": {
"cloudbase": {
"command": "npx",
"args": ["@cloudbase/cloudbase-mcp@latest"]
}
}
}
CodeBuddy has CloudBase MCP built-in, no configuration needed.
View Complete configuration guide for other IDE configuration methods.
Development Process:
Demo: Gomoku Game
| Development Process | Final Result |
|---|---|
![]() | ![]() |
Development Process:

When an app has issues, AI automatically views logs, analyzes errors, and generates fix code.

39 tools covering environment management, database, cloud functions, static hosting, mini-program publishing, and other core features.
| Category | Tools | Core Features |
|---|---|---|
| Environment | 4 | Login authentication, environment query, domain management |
| Database | 11 | Collection management, document CRUD, indexes, data models |
| Cloud Functions | 9 | Create, update, invoke, logs, triggers |
| Static Hosting | 5 | File upload, domain configuration, website deployment |
| Mini-Program | 7 | Upload, preview, build, configuration, debugging |
| Tool Support | 4 | Templates, knowledge base search, web search, interactive dialogs |
View complete tool documentation | Tool specification JSON
| Platform | Link | Description |
|---|---|---|
| Official Documentation | View Documentation | Complete CloudBase documentation |
| Issue Feedback | Submit Issue | Bug reports and feature requests |
Thanks to all the developers who have contributed to CloudBase MCP!