TencentCloudBase/CloudBase-AI-Toolkit

What it solves

AI coding tools (like Cursor or Claude Code) are excellent at writing code but often struggle with the backend infrastructure—such as setting up databases, managing permissions, and deploying functions. This toolkit provides an integration layer that allows AI agents to directly manage and operate a CloudBase backend from within a chat interface.

How it works

The toolkit connects AI IDEs to Tencent Cloud's CloudBase platform through three primary components:

• MCP Server: Implements the Model Context Protocol (MCP) to allow AI agents to perform actions like querying data, managing cloud functions, and reading logs.
• Agent Skills: Provides scenario-specific knowledge and constraints (e.g., for Web or Mini Programs) to guide the AI in writing workable code.
• Plugins: Bundles MCP servers, skills, and hooks together for easier installation across different AI IDEs.

Who it’s for

Developers using AI-native IDEs (such as Cursor, WindSurf, Trae, or Claude Code) who want to automate the end-to-end development and deployment of applications using CloudBase as their backend.

Highlights

• Direct Backend Control: AI can manage PostgreSQL/document DBs, author and deploy cloud functions, and configure auth and storage.
• Wide IDE Support: Compatible with a vast array of tools including Cursor, WindSurf, Claude Code, and various VS Code plugins.
• Flexible Connection Modes: Supports local execution via npx, hosted HTTP connections for zero-ops, and a self-hosted cloud mode for security.
• End-to-End Automation: Enables the AI to move from a prompt to a fully deployed application with a functioning backend.