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Zeabur x InsForge: The Ultimate Code-to-Cloud Pipeline for the Agentic Web

We are partnering with InsForge to provide a seamless, autonomous DevOps pipeline for AI Agents using the Model Context Protocol (MCP).

Kyle ChungKyle Chung

We are thrilled to announce a strategic partnership with InsForge, the leading Backend-as-a-Service (BaaS) designed specifically for AI coding agents.

As next-generation AI tools like Cursor, Claude Code, and Windsurf redefine how code is written, the development bottleneck has shifted. The challenge is no longer generating code—it is configuring the scalable infrastructure it runs on. AI Agents often struggle with complex cloud setups, secure authentication flows, and database wiring.

Zeabur and InsForge are Building the First AI Native DevOps Stack

By combining Zeabur’s "AI Agent for DevOps" capability with InsForge’s "Agent-Native Backend," we are unlocking the industry's first truly autonomous full-stack workflow.

As Zeabur continues to pioneer AI Agents for DevOps, we identified a recurring friction point: Backend Complexity.

While Zeabur solved the infrastructure problem—handling serverless deployments, networking, and containerization automatically—our users still faced hurdles when configuring traditional backend tools. Setting up Row Level Security (RLS) policies, complex JWT authentication, and PostgreSQL schemas often required human intervention, breaking the "autonomous" coding flow.

This made InsForge the obvious partner for the next generation of Zeabur.

InsForge shares the same DNA as Zeabur: it is built for the 'Agentic Era.’

Bridging Logic and Infrastructure with Model Context Protocols (MCPs)

Just as Zeabur agent handles your DevOps (so you don't have to), InsForge empowers the agent to architect the Backend.

Unlike traditional tools that require manual configuration, InsForge exposes backend primitives like Auth, Database, and Storage through the Model Context Protocol (MCP).

This creates a perfect symmetry for the Agentic Web:

  • Zeabur gives the agent control over the infrastructure.
  • InsForge gives the agent control over the business logic.

The result? A backend your agent can actually 'understand,' manipulate, and scale without you ever touching a config file.

How the Zeabur x InsForge Integration Works

Here is exactly how to build an autonomous pipeline:

  1. One-Click Deploy: Spin up an InsForge service directly from the Zeabur Integration page. It runs inside your private network as a fully managed service.
  2. Connect via MCP: Connect your AI Agent (e.g., Cursor) to InsForge using the Model Context Protocol.
  3. The Agent Takes Over: Because InsForge is Agent-Native, your AI reads the documentation, understands API patterns, and executes backend tasks autonomously.
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Key Features of the InsForge Backend on Zeabur

We list out the powerful features unlocked by the Zeabur + Insforge combination.

1. Seamless One-Click Deployment

Zeabur eliminates the complexity of DevOps automation. While InsForge handles your backend logic and data, Zeabur allows you to deploy the connecting frontend—or even self-host instances—with a single click. No complex configuration files; just pure code running on the cloud.

2. Modular AI-First Building Blocks

InsForge provides modular building blocks—AI/Vector Databases, Authentication, File Storage, and Serverless Functions—while Zeabur provides the containerized environment to run them efficiently. This separation of concerns allows you to build extended architectures where the AI handles the logic and Zeabur handles the scale.

3. Templates & CI/CD Quick Starts

Zeabur’s robust Integration page is the perfect launchpad for InsForge projects. You can provision an entire stack (Frontend + InsForge connection) in under a minute and connect it to a GitHub repo for continuous integration; for instance, check out our guide on how to deploy a Lovable app to Zeabur with InsForge.

4. Global Edge Network & Low Latency

Zeabur deploys your services across global edge networks. This ensures that your application runs as close to your users—and your InsForge backend functions—as possible, reducing latency for real-time AI interactions.

5. Unified Developer Experience

Forget context switching. With InsForge handling backend complexity and Zeabur managing infrastructure, you get a unified, simplified workflow. Monitor deployments, manage environment variables, and scale your AI applications from a single, intuitive ecosystem.

Real-World Agentic Workflow: From Prompt to Production

Previously, you had to manually configure Supabase or write raw SQL (Already using Supabase? See why and how to migrate from Supabase to InsForge for better agentic control). Now, the workflow looks like this:

  • You Prompt: "Build a blog with user authentication and image uploads."
  • Your Agent (via InsForge):
    • Automatically provisions a PostgreSQL database.
    • Turns tables into instant APIs (no boilerplate code needed).
    • Configures JWT-based Authentication (signup/login) and social sign-ons with zero config.
    • Sets up S3-compatible storage for images.
    • Run custom backend logic on the edge with Edge Functions
  • Zeabur: Automatically detects changes, builds the service, and keeps it online.

You focus on the product logic. The Agent handles the implementation. Zeabur handles the infrastructure.

Getting Started: Deploy InsForge on Zeabur

Don't let backend complexity stop your flow. Follow these steps to enable the Code-to-Cloud pipeline:

  1. Go to your Zeabur Dashboard.
  2. Click Create Service -> Integration.
  3. Select InsForge.
  4. Connect the InsForge MCP.

Give your AI Agent the backend capabilities it has been missing.

Transparent, Usage-Based Pricing Structure

We believe in transparent, infrastructure-based pricing. Because InsForge runs directly as a containerized service within your Zeabur project, you avoid the complex tiering and "per-seat" markups of traditional SaaS platforms.

You are charged only for the raw resources your backend consumes:

ItemRate
Compute Hour (Nano EC2 + EBS + Public IP)$0.006 / hour
Database Size$0.125 / GB / Month
Storage$0.021 / GB / Month
Egress$0.1 / GB
LLM AI CreditsInput / Output Token
  • No Artificial Limits: There are no "API rate limits," "Row limits," or "Max User" caps. You simply pay for the compute and storage infrastructure defined above.
  • Unified Billing: All these costs are aggregated directly into your existing Zeabur project invoice. One platform, one bill.