Vibe-Coding an MCP Server: From Idea to Reality in Minutes with Antigravity

I’ve been hearing a lot about “vibe-coding”, the idea that you can just flow with your ideas while the heavy lifting is handled by your AI pair programmer. Today, I put it to the test with Antigravity IDE, and the results were honestly kind of mind-blowing.

The Goal: A Custom MCP Server

I needed a Model Context Protocol (MCP) server to let my AI agents interact with local log files supporting features:

• Tail Polling: Updating in real-time.
• Regex Search: Finding complex patterns like error codes.
• Log Rotation Handling: Seamlessly reading across app.log, app.log.1, etc.

In the old days, I’d be stuck researching glob patterns, debugging file offsets, and writing boilerplate for an hour.

The Vibe-Coding Experience

I simply told Antigravity what I wanted.

“Write a model context protocol server which can read a log file, catch or grep a pattern etc.”

1. Planning on Autopilot

Antigravity didn’t just dump code. It created a verified Implementation Plan. It anticipated the need for structure (server.py, requirements.txt) and proposed a clear path forward.

2. Implementation Speed

Within seconds, I had a working Python server using FastMCP. But I wanted more. I asked:

“Please add Tail polling, Regex support and Log rotation handling”

Antigravity didn’t blink. It refactored the code to:

• check for rotated files automatically.
• implement a read_log_chunk tool for tailing.
• add regex flags to the search tool.

3. Verification Included

The best part? It didn’t just write code that might work. It wrote a test script (test_manual_v2.py) to simulate log rotation and verify the regex matches. I watched the green checkmarks roll in without lifting a finger.

The Result

I put this into test, by taking sample log file from the following repo: https://github.com/logpai/loghub/tree/master/Linux

You can find the log mcp source code in the following link: https://github.com/machani/log-mcp-server

Opinion

The code is clean, the logic is sound, and I spent my energy on the design and requirements, not formatting strings or looking up library docs.

This is what Vibe-Coding feels like. It’s not about not coding; it’s about coding at the speed of thought.

Happy (Vibe)Coding!