C

CPU Performance Engineering

MCP server · by usamahz

Developer Tools Python v0.1.1

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

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Install

Run one of the commands below, then add the client config underneath.

Pythonuvx cpu-perf

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "cpu-perf": {
      "command": "uvx",
      "args": [
        "cpu-perf"
      ]
    }
  }
}

About this server

CPU Performance Engineering is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the CPU Performance Engineering MCP server?

CPU Performance Engineering is an MCP server by usamahz. A CPU performance engineering brain: a vetted reading list, benchmarks and cited source passages

How do I install CPU Performance Engineering?

Install it with: uvx cpu-perf. Then add the JSON config to your client's MCP settings and restart the client.

Is CPU Performance Engineering free to use?

The MCP server itself is free to install. The source is public on https://github.com/usamahz/cpu-performance-engineering. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support CPU Performance Engineering?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.