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title: AI-Driven Performance Optimization - Kotzilla MCP
description: A walkthrough of using the Kotzilla (referred to as 'Godzilla' in the transcript) MCP server to automate Android app performance analysis and optimization. The...
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# AI-Driven Performance Optimization - Kotzilla MCP

**[Stevdza-San](https://daily.dev/sources/stevdzasan)** · 16 min read · 0 upvotes · 0 comments

## Summary

A walkthrough of using the Kotzilla (referred to as 'Godzilla' in the transcript) MCP server to automate Android app performance analysis and optimization. The tutorial covers setting up the Kotzilla SDK via an AI agent (Codex CLI), recording performance sessions, and using AI to analyze bottlenecks. A real-world example shows reducing an onboarding ViewModel's main thread blocking from 141ms to 5ms by fixing duplicate RevenueCat initialization and refactoring a heavy dependency — a 65% performance improvement from a single fix.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=98l-8N5iAGA>

## Questions this post answers

### What is Kotzilla MCP server used for in Android app development?

Kotzilla MCP server exposes app performance monitoring data collected via the Kotzilla SDK to an AI coding assistant, letting the AI analyze session data like main thread blocking, dependency resolution time, and rendering delays, then propose or apply fixes. It integrates with agents such as Codex CLI by adding the MCP server URL to the agent's configuration file.

_daily.dev surfaces workflows like this for developers pairing AI agents with app performance tooling._

### How much did fixing duplicate RevenueCat initialization improve onboarding view model performance in this Kotlin app?

Removing duplicate RevenueCat configuration from the onboarding screen and purchase repository, and lightening the onboarding view model's dependencies, cut its main-thread resolution time from 141 milliseconds to 5 milliseconds, with RevenueCat dependency resolution improving by 65% and main thread blocking eliminated entirely.

_Developers chasing similar startup bottlenecks can track fixes like this via daily.dev._

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---

Tags: [#performance](https://daily.dev/tags/performance), [#android](https://daily.dev/tags/android), [#mcp](https://daily.dev/tags/mcp), [#kotlin](https://daily.dev/tags/kotlin)

[View this post on daily.dev](https://daily.dev/posts/ai-driven-performance-optimization---kotzilla-mcp-4dr4yu114)

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