Qimen Dunjia Engine MCP Server

qimen-dunjia-engine

Qimen Dunjia (奇门遁甲) chart calculation engine for Node.js — deterministic, no AI/LLM dependency, pure calculation.

时家转盘法 · 置闰符头定元 · 值使独立转门

实测数据（每一条都可复现，脚本在 verify/）：44,064 次全量遍历崩溃 0、不变式违反 0；41 种格局零命中盘 0%、无恒真规则、无死规则；拆补 vs 置闰分歧率 41.6%；两批书载案例审计（142 例与 79 例，各自独立口径，不可混算）。

Why this engine

Most open-source Qimen libraries cut corners. This one implements the classical mainstream ruleset faithfully:

Features

• Hour-based rotating-plate method (时家转盘), Chabu (拆补), Zhirun (置闰) and Shen Jie Qi (超神接气) determination
• Full plate: earth plate (地盘), heaven plate (天盘), 9 stars (九星), 8 doors (八门), 8 gods (八神), hidden stems (遁干)
• Formation detection (格局): 41 formations detected in real computation — Fu-Yin (伏吟), Fan-Yin (反吟), 门迫, 击刑, 入墓, 青龙返首, 飞鸟跌穴, 玉女守门, 三奇得使, 十干克应 combinations, and more
• Horse palace (马星), void branches (旬空), year/month stems lodging
• Four-pillar (干支) calculation for year/month/day/hour via lunar-javascript
• Zero network, zero AI — same numbers every run

Install

# Install straight from GitHub (npm supports this natively)
npm install github:wyl743405571-cpu/qimen-dunjia-engine

# Or clone + install
git clone https://github.com/wyl743405571-cpu/qimen-dunjia-engine.git
cd qimen-dunjia-engine && npm install

# npm registry package: coming soon

Usage

const qimen = require('qimen-dunjia-engine');

// year, month, day, hour, minute, method: 'zhirun' | 'chaibu' | 'shenjieqi'
const chart = qimen.paipan(2026, 6, 7, 11, 0, 'zhirun');

console.log(chart.juNum);        // 6  (Yang Dun 6)
console.log(chart.isYang);       // true
console.log(chart.zhiFuXing);    // 天蓬 — Zhi-Fu star
console.log(chart.zhiFuGong);    // 4
console.log(chart.zhiShiMen);    // 休门 — Zhi-Shi door (independently rotated)
console.log(chart.zhiShiGong);   // 3
console.log(chart.dp);           // earth plate stems, keyed by palace 1-9
console.log(chart.tp);           // heaven plate stems
console.log(chart.xing);         // 9 stars by palace
console.log(chart.men);          // 8 doors by palace
console.log(chart.shen);         // 8 gods by palace
console.log(chart.geju);         // detected formations [{name, level, gong, detail}]
console.log(chart.maGong);       // horse palace
console.log(chart.kong);         // void branches, e.g. ['寅','卯']
console.log(chart.ygz);          // four pillars: year/month/day/hour ganzhi

See examples/basic.js for a runnable demo that prints a full nine-palace grid.

Output reference

Scope

This package computes charts only. Interpretation, judgment rules (用神/断法), and case libraries are not included — those are product-layer assets of QiMenSeek.

The engine is流派-aware in one dimension: it implements the mainstream hour-based rotating-plate tradition (时家转盘). It does not compute flying-plate (飞盘) charts.

Test & Verification

npm test    # 3 known-good snapshot charts + plate-structure invariants

That only covers three sample charts. For real numbers, run the measurement suite — every figure quoted in this README comes from these scripts, and you will get the same output on your own machine:

node verify/sweep_coverage_v2.js 2000 2050   # 44,064 charts: 0 crashes, 0 invariant violations
node verify/measure_divergence.js 30# 12,960 moments: 41.6% of charts differ between Chaibu/Zhirun
node verify/measure_geju.js 10                # 41 formations, 0% zero-hit charts, no dead rules
node verify/audit_book_cases.js               # 142-case classical library audit
node verify/audit_book_cases_v2.js            # 79-case 1990s casebook audit (incl. Shen Jie Qi mode)

See verify/README.md for what each script proves, what it does not prove, and the measurement traps we hit while writing them.

Known limitation we do not hide

The 142-case classical library (verify/book_case_library_tagged.json, 95.8% with page citations) reproduces the book-stated ju number 64.9% of the time under Chaibu (63/97 testable) vs 42.6% under Zhirun (40/94). Only 51 of 142 cases carry an expected verdict, and 45 of those are OCR-extracted and still flagged needsReview. So: use the library for regression exploration, not as an accuracy claim.

The second, independent library (verify/book499_case_library.json, 79 testable cases from a 1990s casebook) reproduces the book-stated ju 82.3% under Chaibu (65/79) and 91.1% under the Shen Jie Qi mode (72/79). Note what that mode is: it is fitted from this casebook's own data — it explains this book, it does not claim to be "more classical". The default remains Chaibu. Five boundary cases stay unexplained, listed by the script itself. The two libraries never mix: different books, different denominators.

Live tools

• Free online calculator: https://qimenseek.aicreditsapi.com/calculator.html
• Today's chart + daily verse: https://qimenseek.aicreditsapi.com/daily.html
• Published charting ruleset (口径公开): https://qimenseek.aicreditsapi.com/ruleset.html
• Measured school divergence report: https://qimenseek.aicreditsapi.com/divergence
• 8 real readings produced by this engine: https://qimenseek.aicreditsapi.com/cases
• MCP endpoint (Claude/Cursor): https://qimenseek.aicreditsapi.com/mcp · docs: https://qimenseek.aicreditsapi.com/mcp.html · local stdio server: mcp/README.md

End-user guides & articles

For people facing real decisions — not just developers — these plain-language guides explain the system (no mysticism, full reasoning, every claim sourced to your chart's symbols) and link back to the free tools:

• Why we translate Qi Men Dun Jia into a "space-time decision system"
• Does Co-Star "work"? A Qi Men Dun Jia perspective

Index: articles/README.md

License

MIT