Introducing AipexBase: China’s First Open‑Source AI‑Native Backend Platform

Background

Recent years have seen a surge of discussion around AI‑assisted programming, with tools such as GitHub Copilot, Cursor, and Claude Code dramatically improving developer productivity. However, these tools struggle with data storage, user authentication, and state management, often relying on foreign BaaS services like Supabase, which introduces ecosystem mismatches and high integration costs.

Project Introduction

AipexBase is positioned as China’s first AI‑native Backend‑as‑a‑Service (BaaS) platform. It already supports integration with products such as Code on Fly, Cursor, and Trae. According to the project’s description, the goal is not merely to speed up backend development but to make developers completely forget about the backend. It encapsulates databases, authentication, third‑party integrations, and context management into AI‑native capabilities that can be invoked with a front‑end SDK or the Model Context Protocol (MCP).

This means that, regardless of whether you use Cursor, Trae, or another AI coding assistant, adding the AipexBase SDK enables an AI to automatically handle end‑to‑end cloud development, achieving a seamless intelligent development loop.

Usage Walk‑through

The article demonstrates the platform with a real‑world case: building an announcement‑management system without writing any backend code.

Step 1: Deploy and create an application

After following the official deployment guide, access the provided admin console and create a new application.

Step 2: Generate an API key

Within the application’s management page, select “API KEYS” and generate a token that will be used later.

Step 3: Integrate AipexBase in an AI IDE (example with Cursor)

Configure the MCP server in Cursor’s settings:

{
  "mcpServers": {
    "aipexbase-mcp-server": {
      "url": "https://www.aipexbase.dev/mcp/sse?token=xxxxxxxxxxxxx"
    }
  }
}

The token in the URL is the API key generated in the previous step.

Step 4: Generate the application via prompt

Open the AI pane in Cursor, type “/” to invoke the built‑in AipexBase prompts, and let the AI generate the full application. The admin console then shows that the required database tables have been created automatically.

Key Highlights

AipexBase differentiates itself from traditional BaaS solutions like Supabase and Firebase by being designed for AI models rather than humans. Its three core “AI‑native” features are:

Native MCP compatibility : Unlike static APIs, AipexBase understands the Model Context Protocol, allowing AI agents to invoke backend services as naturally as they process natural language.

Long‑term memory for AI : By unifying context and data layers, each interaction is tracked and remembered, giving AI applications a stateful “soul” instead of isolated, forgetful calls.

Front‑end is the back‑end : Developers and AI tools can focus 100% on business logic and interaction innovation without worrying about APIs, servers, or databases.

Additional integrations include one‑click support for Feishu, DingTalk, and Enterprise WeChat, as well as deep compatibility with HarmonyOS apps, WeChat mini‑programs, and various WebView containers.

Open‑Source Availability

The project is open‑source on Gitee (https://gitee.com/kuafuai/aipexbase) and its backend admin console is built with SpringBoot, making it especially friendly for Java developers.