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
SigRank SignalAF — sigrank CLI/MCP
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
> **SignalAF** is the public brand. **SigRank** is the leaderboard and proof surface.
> The sigrank package reads local AI session logs, derives your token cascade,
> and publishes to the board at signalaf.com.
> _Four token counts only. Never prompts or code._
**SignalAF is the brand. SigRank proves. MO§ES™ governs.**
SigRank evaluates observable AI operator token-processing patterns—not AI model quality, cognition, work quality, employee productivity, or business value.
Table of Contents
- SignalAF product architecture
- Quickstart
- Install from GitHub
- Install via Smithery
- Commands
- MCP Server mode
- Cascade math
- Token Pillars
- Platform adapters
- Privacy
- Env vars
- Dev / test
- File map
- Contributing
- License
| The board | Your operator profile |
| :-----------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------: |
| | |
| 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 then sigrank submit to get ranked and claim your public profile at signalaf.com.**
---
SignalAF product architecture
| Repo | What it is | Install |
|------|-----------|---------|
| **sigrank-mcp** (this repo) | SigRank's on-device scanner — extracts four token pillars, computes locally, and optionally submits to the board. | npx sigrank |
| **sigrank-app** | SignalAF web app — the SigRank leaderboard, operator profiles, and proof surface. | signalaf.com |
| **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** | The satellite — public LLM operator evals at sigeconomy.com. Read-only leaderboard, SEO/AEO surface. | sigeconomy.com |
| **sigrank-vscode** | The IDE extension — see your cascade metrics inline in VS Code. | code --install-extension sigrank.sigrank |
| **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** | 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** | Constitutional governance and methodology — the law governing SignalAF, SigRank, and the Upsilon measurement engine. |
Quickstart — 3 steps to the board
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. No paste, no transcript content — what leaves your machine is limited to the four token pillars plus the identifiers listed under Privacy.
Or just explore without signing in:
Install from GitHub
**Repo:** SunrisesIllNeverSee/sigrank-mcp
**Site:** signalaf.com
**npm:** sigrank
**Smithery:** smithery.ai/servers/burnmydays/sigrank
**Glama:** glama.ai/mcp/servers/SunrisesIllNeverSee/sigrank-mcp
---
Install via Smithery
SigRank SignalAF is available on Smithery as a stdio MCP bundle — one-click install for Claude Desktop, Cursor, and other MCP clients.
Smithery CLI
Claude Desktop (via Smithery)
1. Go to smithery.ai/servers/burnmydays/sigrank
2. Click **Install**
3. Smithery handles the rest — no manual config editing
---
Commands
Optional API usage proxy
Some desktop coding agents receive provider usage in API responses but do not
persist it in their local session files. SigRank SignalAF can capture those
provider-reported counts through a manually started loopback proxy:
Then point a compatible tool's API base URL at the displayed local URL. The
first release supports Anthropic Messages (/v1/messages), OpenAI Chat
Completions (/v1/chat/completions), and OpenAI Responses (/v1/responses).
The tool must support a custom API base URL; this is not guaranteed for every
desktop client.
The proxy is **off by default**: it opens no port and observes no traffic unless
you explicitly run sigrank proxy. It binds only to loopback and stops when the
command exits. Request and response content, API keys, and tool calls are
forwarded transiently but never written to disk. Only usage metadata is appended
to ~/.sigrank-mcp/proxy-sessions.jsonl (directory 0700, file 0600).