Testing Antrieb: Deploying MongoDB with Authentication for a Flask + React App

Source: Dev.to

What I Tried to Accomplish

I had a Flask and React web application that was missing a critical piece: authentication and authorization. To solve this, I needed a properly configured MongoDB instance with authentication enabled, an admin user, an application‑specific user, and a database ready for CRUD operations. Instead of manually going through the usual setup process, I decided to test Antrieb—an AI infrastructure automation tool that generates and executes scripts on real VMs.

My prompt was straightforward: deploy MongoDB with authentication enabled, create an admin user, set up a database with an application user, enable journaling for persistence, and test CRUD operations via the mongo shell. I ran it through Claude Code using Antrieb’s MCP integration.

How It Went

Antrieb picked up the task and started working autonomously. It spun up a real VM, installed MongoDB, configured authentication, created the users, and ran through the CRUD tests—step by step. I could follow everything in real time through the monitoring dashboard, which was honestly my favorite part of the experience. The dashboard gave clear visibility into what was happening at each stage: what succeeded, what failed, and how the agent adapted.

The whole process was largely hands‑off. I did have to nudge the MCP with a couple of follow‑up prompts to refine certain steps, but that felt normal—no different from the back‑and‑forth you’d expect when using any LLM as a coding agent. The self‑correction feature worked well; when a step didn’t go as planned, the agent analyzed the failure and adjusted without me having to intervene manually.

What Worked Well

• Monitoring dashboard: Real‑time insight into what the agent was doing, what passed, and what needed fixing made the experience transparent and trustworthy.
• Autonomy: The agent explored, adapted, and delivered a working setup with minimal input, demonstrating impressive self‑sufficiency.

What Could Be Better

The only friction was needing to provide a few extra prompts along the way. The MCP occasionally needed a bit more context to get things exactly right. That said, this was minor and felt like a natural part of working with AI‑driven tools—not a dealbreaker.

Final Thoughts

Antrieb delivered what it promises: verified infrastructure scripts that actually ran on real machines. For my use case—setting up MongoDB with authentication to support a Flask + React app—it saved time and gave confidence that the output was tested, not just generated. If you’re working on infrastructure tasks and want something more reliable than copy‑pasting from Stack Overflow, it’s worth trying.