perfetto-mcp-rs

mcp
Security Audit
Fail
Health Warn
  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Fail
  • rm -rf — Recursive force deletion command in uninstall.sh
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This is an MCP server that allows AI agents (like Claude Code or Cursor) to analyze Perfetto trace files (.pftrace) using PerfettoSQL queries. It acts as a bridge, letting LLMs load trace files and execute SQL queries against them via the standard MCP protocol.

Security Assessment
Overall risk: Medium. The server requires read access to local .pftrace files, which may contain sensitive system profiling data. It makes network requests to automatically download the `trace_processor_shell` binary on first run, which introduces a supply chain risk. A significant automated red flag is the presence of a recursive force deletion command (`rm -rf`) inside the uninstall script. While common in shell scripts, this is inherently dangerous if modified maliciously or if the path variables are unexpectedly manipulated. The tool does not request highly dangerous system permissions, and no hardcoded secrets were found. Users should exercise caution with the piped install scripts (`curl | sh`) and manually inspect them if possible.

Quality Assessment
The project is relatively new and has low community visibility, currently sitting at only 5 GitHub stars. However, it shows strong active maintenance signs with a push made as recently as today. The codebase is open source under a permissive dual-license (Apache-2.0 and MIT), which is excellent for developer freedom and compliance. The presence of automated CI workflows suggests a baseline standard of code testing and reliability.

Verdict
Use with caution — the tool is actively maintained and properly licensed, but its low community adoption, automatic downloading of external binaries, and risky uninstall commands warrant manual review before deploying in sensitive environments.
SUMMARY

MCP server for analyzing Perfetto traces with LLMs — query .pftrace files in PerfettoSQL via Claude Code or any MCP client

README.md

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perfetto-mcp-rs

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An MCP server for analyzing
Perfetto traces with LLMs. Point Claude Code (or any
MCP client) at a .perfetto-trace / .pftrace file and query it with
PerfettoSQL.

Backed by trace_processor_shell — downloaded automatically on first run, no
manual Perfetto install required.

Works best with agentic MCP clients (Claude Code, Codex, Claude Desktop, Cursor)
that can chain multi-turn tool calls. Non-agentic clients will see the same
tools but won't be able to follow the error-message nudges that steer the
LLM through the typical load_tracelist_tableslist_table_structure
execute_sql flow.

Navigate agents toward the right PerfettoSQL stdlib modules — the analysis SQL is always the agent's own.

Quick install

Linux / macOS / Windows (Git Bash, MSYS2, Cygwin):

curl -fsSL https://raw.githubusercontent.com/0xZOne/perfetto-mcp-rs/main/install.sh | sh

Windows (PowerShell):

irm https://raw.githubusercontent.com/0xZOne/perfetto-mcp-rs/main/install.ps1 | iex

Both installers drop the prebuilt binary into ~/.local/bin (or
%USERPROFILE%\.local\bin on Windows), add it to your user PATH if needed,
and — if Claude Code and/or Codex are installed — register it automatically.
Restart Claude Code or start a new Codex session to pick it up.

Claude scope: registration defaults to --scope user (available from any
directory). For a project-local install, set SCOPE=local (or project) and
run the script from that project's directory:

SCOPE=local bash -c 'curl -fsSL https://raw.githubusercontent.com/0xZOne/perfetto-mcp-rs/main/install.sh | sh'

PowerShell equivalent: $env:SCOPE = 'local'; irm ... | iex. Codex has no
scope concept and ignores this variable.

Supported platforms: linux amd64/arm64, macOS amd64/arm64, Windows amd64.
If you'd rather not run a script, grab the binary directly from the
releases page. Release
assets are named perfetto-mcp-rs-<platform> (e.g. perfetto-mcp-rs-linux-amd64);
rename or address the downloaded file explicitly when invoking install, and
on Unix mark it executable first (chmod +x) — the subcommand refuses
non-executable paths to avoid writing a broken MCP entry. Example:

# Linux amd64 example — adjust the asset name for your platform.
curl -fsSL -o perfetto-mcp-rs \
  https://github.com/0xZOne/perfetto-mcp-rs/releases/latest/download/perfetto-mcp-rs-linux-amd64
chmod +x perfetto-mcp-rs
./perfetto-mcp-rs install --scope user --binary-path "$PWD/perfetto-mcp-rs"

Upgrade

Re-run the same install command — it pulls the latest release, safely
overwrites the existing binary (with Windows file-lock retry), and
re-registers the MCP server with Claude Code / Codex idempotently.

Pin to a specific version with the VERSION env var:

VERSION=v0.7.0 curl -fsSL https://raw.githubusercontent.com/0xZOne/perfetto-mcp-rs/main/install.sh | sh

No auto-update daemon — upgrades are explicit.

Uninstall

Symmetric one-liner per platform. Deregisters from Claude Code and Codex,
removes the binary, and deletes the cached trace_processor_shell. Idempotent
— safe to run if any step was already done by hand.

Linux / macOS / Windows (Git Bash, MSYS2, Cygwin):

curl -fsSL https://raw.githubusercontent.com/0xZOne/perfetto-mcp-rs/main/uninstall.sh | sh

Windows (PowerShell) — close Claude Code, Codex, or anything else using the .exe first:

irm https://raw.githubusercontent.com/0xZOne/perfetto-mcp-rs/main/uninstall.ps1 | iex

Scoped installs (local / project): claude stores local/project entries
keyed by project directory, so uninstall must use the same SCOPE AND run
from that directory. Omitting this leaves the scoped Claude entry behind while
the wrapper still removes the binary and cache:

# Ran `SCOPE=local bash install.sh` in ~/work/foo earlier? Then:
cd ~/work/foo
SCOPE=local bash -c 'curl -fsSL https://raw.githubusercontent.com/0xZOne/perfetto-mcp-rs/main/uninstall.sh | sh'

PowerShell equivalent: cd <original-project-dir>; $env:SCOPE = 'local'; irm ... | iex.

$INSTALL_DIR (default ~/.local/bin) is not removed from your PATH:

  • Linux / macOS — the installer only prints a PATH hint; if you added
    it to your shell rc, remove that line manually.
  • Windows — the installer writes $INSTALL_DIR into your user PATH
    (HKCU\Environment); remove it via System Properties → Environment Variables
    if you want it gone.

Other tools may still depend on this directory, which is why uninstall leaves
it in place.

Tools

Tool Purpose
load_trace Open a .perfetto-trace / .pftrace file (must be called first)
list_tables List tables/views in the loaded trace, optional GLOB filter
list_table_structure Show column names and types for a table
execute_sql Run a PerfettoSQL query, returns JSON rows (max 5000)
list_processes List processes in the trace (pid, name, start/end timestamps)
list_threads_in_process List threads under a process name (up to 2000)
chrome_scroll_jank_summary Worst janky frames with cause, sub-cause, delay_since_last_frame (Chrome trace)
chrome_page_load_summary Page loads: URL, FCP, LCP, DCL, load timings in ms (Chrome trace)
chrome_main_thread_hotspots Top main-thread tasks by duration with cpu_pct, uses is_main_thread (Chrome trace)
chrome_startup_summary Browser startup events and time-to-first-visible-content (Chrome trace)
chrome_web_content_interactions Web content interactions (clicks, taps, INP) ranked by duration (Chrome trace)
list_stdlib_modules List available PerfettoSQL stdlib modules with usage examples (no trace needed)

Typical flow depends on trace type:

  • Chrome traces: load_trace → dedicated chrome_* tools
    (chrome_scroll_jank_summary, chrome_page_load_summary,
    chrome_main_thread_hotspots, chrome_startup_summary,
    chrome_web_content_interactions) → execute_sql for deeper analysis
    on the returned rows.
  • Other traces: load_tracelist_tables / list_table_structure
    for schema discovery → execute_sql for queries. Call
    list_stdlib_modules as an auxiliary when stdlib modules might cover
    your analysis (Android, generic modules like slices.with_context).

Example

Ask Claude Code or Codex something like:

Load ~/traces/scroll_jank.pftrace and tell me the top scroll jank causes.

Claude will call load_trace, then issue a query like:

INCLUDE PERFETTO MODULE chrome.scroll_jank.scroll_jank_v3;
SELECT cause_of_jank, COUNT(*) AS n
FROM chrome_janky_frames
GROUP BY cause_of_jank
ORDER BY n DESC;

Manual MCP client configuration

If the installer's auto-registration doesn't apply to your client:

Codex:

codex mcp add perfetto-mcp-rs -- /absolute/path/to/perfetto-mcp-rs

JSON-based clients (e.g. Claude Code, Claude Desktop, Cursor):

{
  "mcpServers": {
    "perfetto-mcp-rs": {
      "command": "/absolute/path/to/perfetto-mcp-rs"
    }
  }
}

Configuration

Variable Effect
PERFETTO_TP_PATH Path to an existing trace_processor_shell binary; skips auto-download
PERFETTO_STARTUP_TIMEOUT_MS Overrides the trace_processor_shell startup timeout in milliseconds
PERFETTO_QUERY_TIMEOUT_MS Overrides the HTTP status/query timeout in milliseconds
RUST_LOG tracing-subscriber filter, e.g. RUST_LOG=debug for verbose logs (written to stderr)

CLI flags:

Flag Default Description
--max-instances 3 Maximum cached trace_processor_shell processes (LRU-evicted)
--startup-timeout-ms 20000 Max time to wait for a spawned trace_processor_shell to become ready
--query-timeout-ms 30000 HTTP timeout for /status and /query requests

Build from source

Requires a Rust toolchain and protoc (Protocol Buffers compiler):

# Ubuntu/Debian
sudo apt install -y protobuf-compiler
# macOS
brew install protobuf
# Windows
choco install protoc

Then:

git clone https://github.com/0xZOne/perfetto-mcp-rs
cd perfetto-mcp-rs
cargo build --release
# Binary at target/release/perfetto-mcp-rs

Development

cargo test          # unit tests
cargo clippy        # lint
cargo fmt           # format

License

Dual-licensed under either of Apache License, Version 2.0 or
MIT license at your option. Contributions are accepted under
the same terms.

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