SigRank MCP — AI operator evaluation and token cascade efficiency tools. The yield cascade + live leaderboard as MCP tools any agent can call. On-device token scanner + tabbed TUI dashboard. npm i -g sigrank
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add sigrank-mcp -- npx -y sigrank{
"mcpServers": {
"sigrank-mcp": {
"command": "npx",
"args": ["-y", "sigrank"]
}
}
}MCP Servers overview
# SigRank SignalAF MCP
> **🏆 SigRank SignalAF is live: [signalaf.com](https://signalaf.com)** — the AI operator
> evaluation leaderboard. Ranks how efficiently you use AI by token cascade
> efficiency (Υ = cache_read × output / input²), not how much. Run `npx sigrank`
> to see your cascade now. _Token counts only. Never your prompts._
<div align="center">
<p><img src="./.github/assets/og-card.png" alt="SigRank SignalAF — AI operator evaluation and token cascade efficiency leaderboard" width="800"></p>
**The yield cascade + live leaderboard as MCP tools any agent can call.**
SigRank evaluates the human using the AI — not the AI model itself.
[](https://www.npmjs.com/package/sigrank)
[](https://github.com/SunrisesIllNeverSee/sigrank-mcp/actions/workflows/ci.yml)
[](https://github.com/SunrisesIllNeverSee/sigrank-mcp/actions/workflows/codeql.yml)
[](https://github.com/SunrisesIllNeverSee/sigrank-mcp/actions/workflows/dependency-audit.yml)
[](https://github.com/SunrisesIllNeverSee/sigrank-mcp/network/dependencies)
[](./LICENSE)
[](https://nodejs.org)
[](https://signalaf.com)
[](https://glama.ai/mcp/servers/SunrisesIllNeverSee/sigrank-mcp)
[](https://smithery.ai/servers/burnmydays/sigrank)
</div>
<p align="center">
<a href="https://www.npmjs.com/package/sigrank"><img src="https://img.shields.io/badge/$%20npx%20sigrank-gold?style=for-the-badge&logo=npm&logoColor=white&labelColor=1a1a1a&color=daa520" alt="npx sigrank" /></a>
</p>
## Table of Contents
- [The SigRank SignalAF ecosystem](#the-sigrank-signalaf-ecosystem)
- [Quickstart](#quickstart--3-steps-to-the-board)
- [Install from GitHub](#install-from-github)
- [Install via Smithery](#install-via-smithery)
- [Commands](#commands)
- [MCP Server mode](#mcp-server-mode)
- [Cascade math](#cascade-math)
- [Token Pillars](#token-pillars--sources)
- [Platform adapters](#platform-adapters)
- [Privacy](#privacy)
- [Env vars](#env-vars)
- [Dev / test](#dev--test)
- [File map](#file-map)
- [Contributing](#contributing)
- [License](#license)
| The board | Your operator profile |
| :-----------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------: |
| [](https://signalaf.com/board/all) | [](https://signalaf.com) |
| Every operator ranked by **Υ Yield** — the architecture of the cascade, not raw spend | Cascade layer, class, and fingerprint — derived from four token counts |
> **Run [`sigrank enroll`](#sign-in--submit) then [`sigrank submit`](#sign-in--submit) to get ranked and claim your public profile at [signalaf.com](https://signalaf.com).**
---
## The SigRank SignalAF ecosystem
| Repo | What it is | Install |
|------|-----------|---------|
| **[sigrank-mcp](https://github.com/SunrisesIllNeverSee/sigrank-mcp)** (this repo) | The instrument — extracts 4 token pillars, computes the cascade, submits to the leaderboard. MCP server + TUI dashboard. | `npx sigrank` |
| **[sigrank-app](https://github.com/SunrisesIllNeverSee/sigrank-app)** | The leaderboard — signalaf.com. Privacy-preserving operator profiles, class tiers, board rankings. | [signalaf.com](https://signalaf.com) |
| **[bestuser-router-mcp](https://github.com/SunrisesIllNeverSee/bestuser-router-mcp)** | The intent layer — routes "who is the best AI user?" queries to SigRank SignalAF's leaderboard. MCP server for AI assistants. | `npx bestuser-router-mcp` |
| **[sigarena](https://github.com/SunrisesIllNeverSee/sigarena)** | The satellite — public LLM operator evals at sigeconomy.com. Read-only leaderboard, SEO/AEO surface. | [sigeconomy.com](https://sigeconomy.com) |
| **[signaf](https://github.com/SunrisesIllNeverSee/signa)** | The coach — reads your session logs, builds a taste profile, measures ASI, coaches you on token efficiency. | `npx @burnmydays/signaf` |
| **[sigrank-vscode](https://github.com/SunrisesIllNeverSee/sigrank-vscode)** | The IDE extension — see your cascade metrics inline in VS Code. | `code --install-extension sigrank.sigrank` |
| **[fundscore](https://github.com/SunrisesIllNeverSee/fundscore)** | The repo scorer — investor-readiness scoring for GitHub repos. CLI + MCP server. | `npx fundscore` |
### Also in the MO§ES™ suite
| Site | What it is |
| ---- | ---------- |
| **[SIGNOMY](https://signomy.xyz)** | Governed AI agent marketplace where ranked agents form teams, fill slots, run missions, and earn revenue under constitutional protocol. Agents are free. Operators pay. |
| **[MO§ES](https://mos2es.com)** | The governance framework that underpins SigRank SignalAF, SIGNOMY, and all governed agent operations. Structural accountability for agentic systems. |
## Quickstart — 3 steps to the board
```bash
# 1. Install (pulls ccusage + tokscale automatically — no separate installs)
npm install -g sigrank
# 2. Sign in (paste a connect code from signalaf.com → Settings → New key)
sigrank enroll
# 3. Submit your cascade to the board
sigrank submit
# (cautious? see exactly what would be sent — four counts + a signature — sending nothing)
sigrank submit --dry-run
```
That's it. sigrank reads your local AI session logs on-device, derives your token cascade (Υ Yield, Leverage, Velocity, 10xDEV), and publishes to [signalaf.com](https://signalaf.com). No paste, no transcript content — only the four token counts leave your machine.
Or just explore without signing in:
```bash
sigrank # launches the full tabbed TUI (dashboard, compare, board, watch)
npx sigrank board --once # print the live leaderboard once
bunx sigrank board --once # same, via Bun (faster startup if you have it)
```
## Install from GitHub
```bash
git clone https://github.com/SunrisesIllNeverSee/sigrank-mcp.git
cd sigrank-mcp
npm install
# Run CLI
node index.mjs # TUI (if TTY)
node cli.mjs board --once # leaderboard one-shot
# Or link globally for `sigrank` command
npm link
sigrank
```
**Repo:** [`SunrisesIllNeverSee/sigrank-mcp`](https://github.com/SunrisesIllNeverSee/sigrank-mcp)
**Site:** [signalaf.com](https://signalaf.com)
**npm:** [sigrank](https://www.npmjs.com/package/sigrank)
**Smithery:** [smithery.ai/servers/burnmydays/sigrank](https://smithery.ai/servers/burnmydays/sigrank)
**Glama:** [glama.ai/mcp/servers/SunrisesIllNeverSee/sigrank-mcp](https://glama.ai/mcp/servers/SunrisesIllNeverSee/sigrank-mcp)
---
## Install via Smithery
SigRank SignalAF is available on [Smithery](https://smithery.ai/servers/burnmydays/sigrank) as a stdio MCP bundle — one-click install for Claude Desktop, Cursor, and other MCP clients.
### Smithery CLI
```bash
# Install Smithery CLI
npm install -g smithery
# Connect to SigRank SignalAF (downloads the MCPB bundle locally)
smithery mcp add burnmydays/sigrank --id sigrank
# List available tools
smithery tool list sigrank
# Call a tool
smithery tool call sigrank get_leaderboard '{}'
smithery tool call sigrank rank_paste '{"text": "1000000 500000 50000 800000"}'
```
### Claude Desktop (via Smithery)
1. Go to [smithery.ai/servers/burnmydays/sigrank](https://smithery.ai/servers/burnmydays/sigrank)
2. Click **Install**
3. Smithery handles the rest — no manual config editing
---
## Commands
```
⊙ SigRank SignalAF CLI v0.0.177
Default (no args)
sigrank unified dashboard: cascade + token pillars + board
Commands
enroll sign in: paste a connect code (get one at signalaf.com → Settings)
submit publish your verified runs to the board (sign in first)
board live leaderboard (refreshes every 30s)
board --window 7d board for a specific window (7d, 30d, 90d, all)
board --once print once and exit
compare raw pillar audit: tokenpull vs ccusage vs token-dash vs tokscale
compare --platform codex compare for a specific platform
tui full tabbed TUI: Dashboard / Trends / Compare / Board / Watch / Connect
tui --platform codex TUI with a different default platform
watch live tune meter — ALL active platforms × all windows, every 30s
watch --platform codex watch only one platform (optional filter)
watch --window 7d watch only one window (optional filter)
proxy opt-in local Anthropic/OpenAI usage proxy
proxy --port 9000 run the proxy on a custom loopback port
Options
--window 7d · 30d · 90d · all (default: 30d for board; all windows for watch)
--platform claude · codex · amp · gemini · opencode · goose · …
--refresh poll interval in seconds (default: 30)
--once print once and exit (board only)
--port proxy port (default: 8787)
For AI clients (not typeable)
In a piped/non-TTY context, sigrank is an MCP stdio What people ask about sigrank-mcp
What is SunrisesIllNeverSee/sigrank-mcp?
+
SunrisesIllNeverSee/sigrank-mcp is mcp servers for the Claude AI ecosystem. SigRank MCP — AI operator evaluation and token cascade efficiency tools. The yield cascade + live leaderboard as MCP tools any agent can call. On-device token scanner + tabbed TUI dashboard. npm i -g sigrank It has 0 GitHub stars and its last recorded update is dated 2026-08-27.
How do I install sigrank-mcp?
+
You can install sigrank-mcp by cloning the repository (https://github.com/SunrisesIllNeverSee/sigrank-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is SunrisesIllNeverSee/sigrank-mcp safe to use?
+
Our security agent has analyzed SunrisesIllNeverSee/sigrank-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains SunrisesIllNeverSee/sigrank-mcp?
+
SunrisesIllNeverSee/sigrank-mcp is maintained by SunrisesIllNeverSee. The last recorded GitHub activity is dated 2026-08-27, with 3 open issues.
Are there alternatives to sigrank-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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