# SigRank — AI Operator Benchmarking

Connects your coding assistant to SignalAF token telemetry to analyze cascade metrics, caching efficiency, and operator profiles.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 7
- Author: SunrisesIllNeverSee
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/SunrisesIllNeverSee/sigrank-app
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/mcp/sigrank-ai-operator-benchmarking

## What it does

This server connects your assistant directly to the SigRank benchmark hosted at `https://signalaf.com/api/mcp`. It inspects token flow across four primary pillars: input, output, cache-write, and cache-read. The Upsilon engine processes these raw figures to calculate token yield alongside metrics like Velocity and SNR.

Privacy is preserved by design. Telemetry snapshots do not collect source code, prompt contents, or model completions, sending only numerical counters and device signature metadata.

These numbers track token-handling efficiency and prompt cache utilization. They do not represent code quality.

## Requirements
- Remote server: `https://signalaf.com/api/mcp`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http sigrank https://signalaf.com/api/mcp
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add sigrank-ai-operator-benchmarking --url https://signalaf.com/api/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "sigrank-ai-operator-benchmarking": {
            "url": "https://signalaf.com/api/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "sigrank-ai-operator-benchmarking": {
            "type": "http",
            "url": "https://signalaf.com/api/mcp"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http sigrank-ai-operator-benchmarking https://signalaf.com/api/mcp
```

## When to use it
- inspect token processing ratios and cache utilization
- pull operator telemetry benchmarks from the SignalAF leaderboard
- calculate the Upsilon token yield metric for your setup
- track context token patterns without sharing project source code

## Example prompts
- Check my operator stats and token metrics via the SigRank MCP server
- Fetch the current leaderboard rankings and compare token yield values
- Review my cache-read and cache-write telemetry on SignalAF

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