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CPU Performance Engineering MCP Server

local only

CPU Performance Engineering runs on your own machine — the client starts it, so there is no endpoint to ping. 876 installs a week from pypi. Last commit 5 Oct 2026.

A CPU performance engineering brain: a vetted reading list, benchmarks and cited source passages

Installs per day peak 658 · avg 39 · +181% w/w
a month agotoday
876
Installs / week
pypi · cpu-perf
1 139
Stars
0 open issues
5 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 6 d ago · rules ccca72095570

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add cpu-perf -- uvx cpu-perf
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "cpu-perf": {
      "args": [
        "cpu-perf"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.cpu-perf]
command = "uvx"
args = ["cpu-perf"]
.cursor/mcp.json
{
  "mcpServers": {
    "cpu-perf": {
      "args": [
        "cpu-perf"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "cpu-perf": {
      "args": [
        "cpu-perf"
      ],
      "command": "uvx"
    }
  }
}

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CPU Performance Engineering — questions

Answers built from our own checks of this server.

Why is there no uptime for CPU Performance Engineering?
CPU Performance Engineering runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package cpu-perf was installed 876 times last week.
How do I connect CPU Performance Engineering?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls cpu-perf straight from pypi; nothing to host, nothing to sign up for.
How many people use CPU Performance Engineering?
The pypi package cpu-perf was installed 876 times in the last week. Week over week that is +181%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is CPU Performance Engineering open source?
Yes — it is published under the MIT licence, written in Python and 1 139 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.