Perfetto Trace Analyzer
Turn natural language into powerful Perfetto trace analysis
What it does
Turn natural language into powerful Perfetto trace analysis
This MCP server provides comprehensive Perfetto trace analysis capabilities for Android performance debugging and profiling. Built by Antariksh with Python and the Perfetto trace processor, it offers specialized tools for detecting ANRs, analyzing frame jank, profiling CPU utilization, identifying memory leaks, examining heap dominator trees, and detecting thread contention issues. The implementation features persistent connection management with automatic reconnection, unified JSON response formatting across all tools, and integration with Perfetto's standard library modules for advanced analysis workflows. It's designed for Android developers, performance engineers, and QA teams who need AI-assisted trace analysis for debugging app performance issues, identifying bottlenecks, and conducting systematic performance investigations without requiring deep Perfetto SQL expertise.
Capabilities
Server
Quality
deterministic score 0.80 from registry signals: · indexed on pulsemcp · has source repo · 172 github stars · registry-generated description present