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io.github.rog0x/perf

Official registry AI and agents

Benchmark, memory, Big O analysis for AI agents

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @rog0x/mcp-perf-tools
Claude Code 
claude mcp add perf -- npx -y @rog0x/mcp-perf-tools@1.0.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "perf": {
            "command": "npx",
            "args": [
                "-y",
                "@rog0x/mcp-perf-tools@1.0.2"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. mcp-perf-tools
  2. Tools
  3. Setup
  4. Usage with Claude Desktop
  5. License

mcp-perf-tools

Performance analysis tools for AI agents, exposed via the Model Context Protocol (MCP).

Tools

benchmark

Benchmark JavaScript code execution. Run a snippet N times and measure min/max/avg/median/p95/p99 latency and operations per second. Optionally compare two implementations side by side.

Parameters:

  • code (string) — JavaScript code to benchmark
  • iterations (number, default 1000) — Number of iterations
  • compareCode (string, optional) — Second implementation to compare
  • labelA / labelB (string) — Labels for comparison output
memory_analyze

Analyze Node.js memory usage: heap used/total, RSS, external memory, and array buffers. Takes snapshots over time and uses linear regression to detect trends and potential memory leaks.

Parameters:

  • action — "snapshot" | "analyze" | "clear"
big_o_estimate

Estimate Big O complexity from empirical timing data. Fits measurements against O(1), O(log n), O(n), O(n log n), O(n^2), O(n^3), and O(2^n) using R-squared scoring. Includes an ASCII growth curve visualization.

Parameters:

  • inputSizes (number[]) — Array of input sizes
  • executionTimesMs (number[]) — Corresponding execution times in ms
bundle_analyze

Analyze a JavaScript bundle file: raw size, gzip compressed estimate, detected module count, largest modules, and tree-shaking opportunities (side effects, duplicates).

Parameters:

  • filePath (string) — Absolute path to the bundle file
load_test

Simple HTTP load tester. Sends N requests at a given concurrency level and reports response time percentiles, error rate, throughput (req/sec), and status code distribution.

Parameters:

  • url (string) — Target URL
  • totalRequests (number, default 100) — Total requests to send
  • concurrency (number, default 10) — Concurrent request count
  • method (string, default "GET") — HTTP method
  • headers (object, optional) — HTTP headers
  • body (string, optional) — Request body
  • timeoutMs (number, default 30000) — Request timeout

Setup

npm install
npm run build

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "perf-tools": {
      "command": "node",
      "args": ["D:/products/mcp-servers/mcp-perf-tools/dist/index.js"]
    }
  }
}

License

MIT

Frequently asked questions

What is io.github.rog0x/perf?

Benchmark, memory, Big O analysis for AI agents

How do I install io.github.rog0x/perf?

It runs on your machine. In Claude Code: claude mcp add perf -- npx -y @rog0x/mcp-perf-tools@1.0.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.rog0x/perf need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.rog0x/perf open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.rog0x/perf?

It is published by rog0x. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.