Perfetto

Created By

antarikshc10 months ago

A Model Context Protocol (MCP) server that transforms natural-language prompts into focused Perfetto analyses. Quickly explain jank, diagnose ANRs, spot CPU hot threads, uncover lock contention, and find memory leaks – all without writing SQL.

# perfetto

# android performance

Overview Content Tools Comments

Overview

What is Perfetto?

Perfetto is a Model Context Protocol (MCP) server that transforms natural-language prompts into focused Perfetto analyses, enabling users to quickly diagnose performance issues in Android applications.

How to use Perfetto?

To use Perfetto, you can install it via various methods including using Python, VS Code, or through command line. You can then input natural language queries to analyze performance traces without needing to write SQL.

Key features of Perfetto?

Natural Language to SQL: Convert plain English questions into precise Perfetto queries.
ANR Detection: Automatically identify and analyze Application Not Responding events.
Performance Analysis: Includes CPU profiling, frame jank detection, and memory leak detection.
Thread Contention: Identify synchronization bottlenecks and lock contention.
Binder Profiling: Analyze IPC performance and slow system interactions.

Use cases of Perfetto?

Diagnosing jank in UI performance.
Analyzing ANR events in Android applications.
Profiling CPU usage and identifying hot threads.
Detecting memory leaks in applications.

FAQ from Perfetto?

Can Perfetto analyze any Android application?

Yes! Perfetto can analyze any application that generates Perfetto traces.

Is there a cost to use Perfetto?

No, Perfetto is open-source and free to use.

What are the prerequisites for using Perfetto?

You need Python 3.13+ and the uv package installed.

Try in Playground

Server Config

{
  "mcpServers": {
    "perfetto-mcp": {
      "command": "uvx",
      "args": [
        "perfetto-mcp"
      ]
    }
  }
}

Project Info

Created At

10 months ago

Updated At

10 months ago

Author Name

antarikshc

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