perfetto-mcp MCP — Anwendungsfälle, Installieren & Live-Demo

Warum nutzen

Hauptfunktionen

Categories: Exploration, Performance (ANR, CPU, jank), Concurrency (locks, Binder), Memory
Custom SQL tool for when you know what you want
Targets Android / Linux Perfetto traces
Install via uvx perfetto-mcp (Python 3.13+)
Apache 2.0

Live-Demo

In der Praxis

perfetto.replay ▶ bereit

0/0

Installieren

Wählen Sie Ihren Client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

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

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json

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

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit

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

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

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

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json

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

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json

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

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add perfetto -- uvx perfetto-mcp

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: perfetto-mcp

Find the cause of UI jank in a recorded trace

👤 Android devs, perf engineers ⏱ ~25 min advanced

Wann einsetzen: User report: 'the app stutters when I scroll'. You captured a Perfetto trace. Now what?

Voraussetzungen

Perfetto .pftrace file — perfetto / systrace / Android Studio Profiler

Ablauf

Point MCP at the trace

Open /tmp/jank.pftrace for process com.example.app. Find jank frames — anything over 16.67ms on the main thread.✓ Kopiert

→ List of janky frames with slice context
Attribute the cause

For the top 3 janky frames, what slice dominated? What was the main thread doing when the frame missed?✓ Kopiert

→ Cause per frame
Propose fix

Based on these bottlenecks, suggest concrete changes (move off main, cache, etc.).✓ Kopiert

→ Fix plan

Ergebnis: Jank root cause identified without staring at the timeline UI.

Fallstricke

Sample interval too coarse — missing short hot methods — Re-record with higher sampling frequency when needed

Diagnose an ANR from a trace

👤 Android devs dealing with ANRs ⏱ ~20 min advanced

Wann einsetzen: Production ANR and you can capture a trace.

Ablauf

Detect

Run ANR analysis on /traces/anr.pftrace for process com.example.app. What blocked the main thread?✓ Kopiert

→ Blocking chain
Identify lock

Was this a lock contention? Identify holder vs waiter threads and the resource.✓ Kopiert

→ Contention diagram

Ergebnis: ANR root cause + whom to wake up on-call.

Hunt a suspected memory leak

👤 Android / native devs ⏱ ~30 min advanced

Wann einsetzen: Heap keeps growing over time on a given screen.

Ablauf

Analyze heap

For trace X, process Y: run memory analysis. What allocations dominate and does the retained set grow monotonically?✓ Kopiert

→ Allocation summary + trend
Correlate

What activities / fragments / slices correlate with growth spikes?✓ Kopiert

→ Correlation report

Ergebnis: Leak suspects identified.

Fallstricke

GC hasn't run yet — growth isn't necessarily leak — Trigger GC between recordings; compare

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

perfetto + filesystem

Save per-release trace analysis for regression tracking

Analyze jank trace for vX.Y.Z and save summary to /perf-reports/vX.Y.Z.md.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

Werkzeug	Eingaben	Wann aufrufen	Kosten
explore_slices	trace_path, process, time_range?	Get your bearings in a new trace	free
detect_anr	trace_path, process	ANR investigation	free
cpu_profile	trace_path, process, threshold_ms?	CPU hotspot hunt	free
thread_contention	trace_path, process	Concurrency issues	free
memory_analysis	trace_path, process	Memory investigations	free
custom_sql	trace_path, sql: str	You know the exact Perfetto SQL you want	free

Kosten & Limits

Was der Betrieb kostet

API-Kontingent: None (local)
Tokens pro Aufruf: Trace summaries 2k-10k tokens typically
Kosten in €: Free (Apache 2.0)
Tipp: Always pass a time range if you know roughly when the issue occurred — slashes query time and tokens.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: None; local trace files

Datenabfluss: Summaries go to your LLM provider — traces can include sensitive process/app names

Traces may contain internal process names and package paths; treat as confidential if from proprietary apps.
Requires Python 3.13+ — check before installing.

Fehlerbehebung

Häufige Fehler und Lösungen

Trace file too large to parse

Perfetto can handle GB-scale traces but first call can be slow. Give it time; subsequent queries are faster.

Process name not found

Verify with custom_sql SELECT name FROM process. Process names can differ from app package IDs.

Python version error

Needs 3.13+. Use uv python install 3.13 then uvx perfetto-mcp.

Prüfen: python --version

Alternativen

perfetto-mcp vs. andere

Alternative	Wann stattdessen	Kompromiss
Perfetto UI (ui.perfetto.dev)	You want visual timeline analysis	Manual; no LLM explanations
Android Studio Profiler	You live inside Android Studio	IDE-bound; less scriptable

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

🔍 Alle 400+ MCP-Server und Skills durchsuchen