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Perfetto MCP rs: MCP server, setup and security

Perfetto MCP rs is an open-source MCP server that lets an AI agent query Perfetto trace files and analyze Chrome page performance issues. Its repository has 22 stars and its last commit is from July 10, 2026 and it is licensed under Apache-2.0.

Last commit 4 months ago

What Perfetto MCP rs does

According to its repository: “Perfetto trace analysis: run PerfettoSQL queries on trace files, with Chrome tools for page loads, scroll jank, main-thread hotspots and stdlib discovery.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Perfetto MCP rs is listed under Developer tools, a category of 475 servers in the directory, where it ranks #327 by stars.

Topics declared by the repository: anthropic, claude-code, perfetto, rust, trace-analysis, perfetto-trace.

Installing and connecting Perfetto MCP rs

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Rust. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Perfetto MCP rs. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on April 12, 2026, the tooluse-labs/perfetto-mcp-rs repository has 22 stars and 4 forks, with 0 open issues. It has more stars than 39% of the servers in the directory. Last change 4 months ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KPerfetto MCP rsPerfetto MCP rs : 2222
GitHub stars of the most followed servers in the category (log scale); Perfetto MCP rs in orange. Checked October 25, 2026.

Verdict

Perfetto MCP rs is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Permissive licence (Apache-2.0)

Limitations

  • Install from source

Frequently asked questions

How do I install Perfetto MCP rs?

No package is declared in the MCP registry: clone the tooluse-labs/perfetto-mcp-rs repository, follow its README, then declare the start command in your client's MCP configuration.

Is Perfetto MCP rs free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Perfetto MCP rs safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by tooluse-labs on GitHub. Check who maintains it before giving it access.

What are the alternatives to Perfetto MCP rs?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score