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Perfetto MCP
This is a Model Context Protocol (MCP) server that gets answers from your Perfetto Traces. It turns natural‑language prompts into focused Perfetto analyses.
Install
claude mcp add perfetto-mcp --scope user -- uvx perfetto-mcpInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Perfetto MCP
Turn natural language into powerful Perfetto trace analysis
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.
✨ Features
- Natural Language → SQL: Ask questions in plain English, get precise Perfetto queries
- ANR Detection: Automatically identify and analyze Application Not Responding events
- Performance Analysis: CPU profiling, frame jank detection, memory leak detection
- Thread Contention: Find synchronization bottlenecks and lock contention
- Binder Profiling: Analyze IPC performance and slow system interactions
📋 Prerequisites
- Python 3.13+ (macOS/Homebrew):
brew install python@3.13 - uv (recommended):
brew install uv
🚀 Getting Started
Cursor
Or add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
{
"mcpServers": {
"perfetto-mcp": {
"command": "uvx",
"args": ["perfetto-mcp"]
}
}
}
Claude Code
Run this command. See Claude Code MCP docs for more info.
# Add to user scope
claude mcp add perfetto-mcp --scope user -- uvx perfetto-mcp
Or edit ~/claude.json (macOS) or %APPDATA%\Claude\claude.json (Windows):
{
"mcpServers": {
"perfetto-mcp": {
"command": "uvx",
"args": ["perfetto-mcp"]
}
}
}
VS Code
or add to .vscode/mcp.json (project) or run "MCP: Add Server" command:
{
"mcpServers": {
"perfetto-mcp": {
"command": "uvx",
"args": ["perfetto-mcp"]
}
}
}
Enable in GitHub Copilot Chat's Agent mode.
Codex
Edit ~/.codex/config.toml:
[mcp_servers.perfetto-mcp]
command = "uvx"
args = ["perfetto-mcp"]
Optional: Use a Local trace_processor_shell Binary
If your network environment blocks downloads, set
PERFETTO_MCP_TRACE_PROCESSOR_BIN_PATH to an absolute path of a local
trace_processor_shell binary.
When this env var is set, perfetto-mcp uses that binary directly.
When it is not set, default perfetto Python behavior is unchanged.
Example (mcp.json):
{
"mcpServers": {
"perfetto-mcp": {
"command": "uvx",
"args": ["perfetto-mcp"],
"env": {
"PERFETTO_MCP_TRACE_PROCESSOR_BIN_PATH": "D:/tools/perfetto/trace_processor_shell.exe"
}
}
}
}
Example (~/.codex/config.toml):
[mcp_servers.perfetto-mcp]
command = "uvx"
args = ["perfetto-mcp"]
[mcp_servers.perfetto-mcp.env]
PERFETTO_MCP_TRACE_PROCESSOR_BIN_PATH = "D:/tools/perfetto/trace_processor_shell.exe"
Local Install (development server)
cd perfetto-mcp-server
uv sync
uv run mcp dev src/perfetto_mcp/dev.py
Local MCP
{
"mcpServers": {
"perfetto-mcp-local": {
"command": "uv",
"args": [
"--directory",
"/path/to/git/repo/perfetto-mcp",
"run",
"-m",
"perfetto_mcp"
],
"env": { "PYTHONPATH": "src" }
}
}
}
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