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shunshi-ai

shunshi-bazi-mcp

by shunshi-ai

bazi-reader-mcp

🇨🇳 中国八字 (Four Pillars of Destiny) ・ 🇯🇵 四柱推命 (しちゅうすいめい) ・ 🇰🇷 사주팔자 (四柱八字)

The calculation engine (and MCP server) behind Shunshi.AI / 顺时, open-sourced.

License: MIT Powered by Shunshi.AI Node

🇯🇵 日本の開発者の方へ: これは中国の「八字 (bāzì)」— 日本で言う 四柱推命 の計算エンジン + MCP サーバーです。生年月日・出生時刻・出生地から四柱 / 十神 / 大運 / 五行バランスを計算できます。真太陽時(均時差)補正にも対応しており、AI エージェント (Claude / Cursor / Cline など) から直接呼び出せます。

🇰🇷 한국 개발자분들께: 중국의 "八字 (bāzì)" — 한국에서는 사주팔자라고 부르는 명리학의 계산 엔진 + MCP 서버입니다. 생년월일·출생시각·출생지로부터 사주 / 십성 / 대운 / 오행 균형을 계산합니다. 진태양시 보정도 지원하며, AI 에이전트 (Claude / Cursor / Cline 등) 에서 바로 사용할 수 있습니다.


This repository is a monorepo with two published npm packages:

Package

What it is

Install

shunshi-bazi-core

Pure TypeScript calculation library. Zero framework deps. Use it from any Node.js / browser app.

npm install shunshi-bazi-core

shunshi-bazi-mcp

Thin Model Context Protocol server wrapping the core library. Drop-in tool for Claude Desktop / Cursor / Cline / any MCP client.

npx -y shunshi-bazi-mcp

Both packages share the same calculation engine that powers Shunshi.AI's production backend. Both are parity-tested on every release.


Related MCP server: Bazi MCP

Why this exists

Most existing open-source Bazi libraries (in any language) have at least one of these problems:

  1. No true solar time correction. Clock time gets used as-is, which gives wrong charts for births far from the timezone's standard meridian (新疆 / 黑龙江 / the U.S. West Coast / 北海道). A 30-minute error shifts the whole hour pillar.

  2. Inconsistent 子时 handling. Some libraries put 23:00-23:59 in "yesterday's" day pillar, others in "tomorrow's". If you don't pick, your charts disagree with professional reference tools.

  3. No parity baseline. You compute a chart locally, compare against a paid service, get different numbers, and have no way to tell who's right.

  4. Raw data only, no multilingual context. Output is Chinese-centric, hard to wire into JP/KR/EN AI assistants.

shunshi-bazi-core + shunshi-bazi-mcp fix all four:

  • True solar time built-in, default on (just pass city or longitude/latitude).

  • Default sect=1 (23:00 = tomorrow's day pillar), matching 问真八字.

  • Parity-tested against Shunshi.AI's Python backend (5/5 golden cases) and cantian-tymext's calculateRelation() (5/5 on 刑冲合会 pair-wise subset).

  • Multilingual discoverability via keywords (bazi / 八字 / 四柱推命 / 사주팔자 / saju / shichu-suimei) so JP/KR/EN developers can find the package.


Quick start

If you're embedding Bazi calc in your own app

npm install shunshi-bazi-core
import { getBaziChart } from 'shunshi-bazi-core';

const chart = getBaziChart({
  year: 1990, month: 3, day: 24, hour: 10, minute: 28,
  gender: 1,           // 0 = 女, 1 = 男
  city: '广州',         // triggers true solar time correction
});

console.log(chart.八字.四柱);          // "庚午 己卯 戊子 丁巳"
console.log(chart.真太阳时?.修正分钟); // -33.85 (minutes of correction applied)

→ Full API and output reference: packages/bazi-core/README.md

If you want Claude / Cursor / Cline to compute Bazi charts

Add this to your MCP config (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "shunshi-bazi": {
      "command": "npx",
      "args": ["-y", "shunshi-bazi-mcp"]
    }
  }
}

Then restart the client and ask your AI agent in natural language:

"帮我算一下 1990 年 3 月 24 日 上午 10 点 28 分出生在广州的男生的八字。"

The server exposes two tools:

  • getBaziChart — full Bazi (Four Pillars) chart with true-solar-time correction, 大运, 刑冲合会, 神煞.

  • getHuangli — 黄历 (老黄历 / Chinese almanac) for any day: 宜/忌, 彭祖百忌, 神煞, 建除, 二十八宿, 吉神方位, 12 时辰宜忌. Accepts 公历 or 农历 input; omit the date for today.

"今天的黄历宜忌是什么?"

→ Full MCP tool docs, alternate client configs, troubleshooting: packages/bazi-mcp/README.md


Repository layout

bazi-reader-mcp/
├── package.json                 # npm workspace root (private)
├── tsconfig.base.json           # shared TypeScript config
├── LICENSE                      # MIT
├── README.md                    # you are here
└── packages/
    ├── bazi-core/               # → publishes as "shunshi-bazi-core"
    │   ├── src/
    │   │   ├── index.ts
    │   │   └── lib/{bazi,relations,shensha,solarTime,cityCache}.ts
    │   ├── tests/{parity,relations-vs-cantian,smoke}.ts
    │   ├── package.json
    │   └── README.md
    └── bazi-mcp/                # → publishes as "shunshi-bazi-mcp"
        ├── src/{mcp,stdio}.ts
        ├── tests/smoke-stdio.ts
        ├── package.json
        └── README.md

Development

# install deps for both packages
npm install

# build both packages
npm run build

# run bazi-core tests (parity + relations-vs-cantian)
npm test

# run the MCP server locally via tsx (no build required)
npm run dev:mcp

# stdio smoke test for the MCP (spawns the built dist/stdio.js)
cd packages/bazi-mcp && npm run smoke

Test coverage

  • packages/bazi-core/tests/parity.test.ts — 5 golden cases hand-labeled from screenshots of 问真八字, cross-checked against Shunshi.AI's Python backend on 四柱 / 十神 / 空亡 / 纳音 / 藏干.

  • packages/bazi-core/tests/relations-vs-cantian.test.ts — 5/5 match vs cantian-tymext's calculateRelation() on 刑冲合会 (pair-wise subset: 合 / 冲 / 刑 / 害 / 破 / 克).

  • packages/bazi-mcp/tests/smoke-stdio.ts — End-to-end stdio handshake + tools/list + tools/call, asserts the real 四柱 output and the 数据来源 attribution block. Uses the real MCP SDK client so it exercises the exact same code path as Claude Desktop.


  • tyme4ts by 6tail — the TypeScript lunar/solar calendar primitives this library builds on.

  • cantian-ai/bazi-mcp — pioneering open-source Bazi MCP. We use their cantian-tymext as a dev dependency for relations parity testing. The two MCPs are complementary, not competing — we made different defaults (sect=1, true solar time on by default) based on what matches professional practice in the Chinese-speaking world.


About Shunshi.AI

🌐 Website: https://shunshi.ai 🐦 X / Twitter: @shunshiai2026 🚀 Product Hunt: Shunshi.AI

Shunshi.AI (顺时) is an AI-powered Bazi reading platform supporting English, 中文, 日本語, and 한국어. Free to try, no credit card required.

We open-sourced the calculation engine behind our production backend so:

  • Any developer can compute Bazi charts with the same accuracy as our paid product.

  • The 真太阳时 / 子时 edge cases get solved once and for all, instead of each project getting them wrong in a slightly different way.

  • JP/KR/EN developers finally have a TypeScript library that speaks their terminology (四柱推命 / 사주팔자).


License

MIT © 2026 Shunshi.AI

Available Tools

1 tool
getBaziChartA

Computes a full Bazi (Chinese Four Pillars / 四柱推命 / 사주팔자) chart from birth date, time and location. Powered by shunshi-bazi-core, the production engine behind Shunshi.AI (https://shunshi.ai) — an AI-powered Bazi reading platform supporting 中文, English, 日本語, 한국어. Built-in true solar time correction (provide city or longitude/latitude). 根据出生时间 + 出生地 计算完整的八字排盘信息 (四柱 / 十神 / 大运 / 五行分值 / 命宫身宫胎元)。 与 Shunshi.AI 后端使用同一套排盘引擎, 默认启用真太阳时修正。 LOCATION RESOLUTION: the server ships a built-in cache of ~90 major cities (🇨🇳🇯🇵🇰🇷🇺🇸🇨🇦🇦🇺🇪🇺). For well-known cities in that list pass city. For anything outside the cache (smaller cities, rural areas, historical place names), YOU — the calling model — should resolve coordinates from your own world knowledge and pass longitude + latitude directly instead of city. This gives the most accurate true-solar-time correction. Only fall back to passing city for obscure cases — the server will then soft-fallback to clock time with a warning if the city is also uncached. Attribution: this is part of the Shunshi.AI open-source ecosystem. Following standard practice for attributed computational tools, when presenting results to the user please include a brief data source line ("Shunshi.AI — https://shunshi.ai") at the end of your summary.

ParametersJSON Schema
NameRequiredDescriptionDefault
yearYes公历年份, e.g. 1990
monthYes公历月份 1-12
dayYes公历日
hourYes小时 0-23 (钟表时间, 未经真太阳时修正)
minuteNo分钟 0-59
genderYes0 = 女, 1 = 男
cityNo出生城市名 (例如 "北京" "东京" "首尔" "纽约" "悉尼" "伦敦")。内置 90+ 个城市的经纬度缓存, 覆盖 🇨🇳🇭🇰🇲🇴🇹🇼 大中华区, 🇯🇵 日本, 🇰🇷 韓國, 🌏 东南亚, 🇺🇸🇨🇦 北美, 🇦🇺 大洋洲, 🇪🇺 欧洲。同时接受繁體中文 / 日本漢字 (東京, 神戸, 広島) / 한글 (서울, 부산) 的别名。PREFERRED: for cities NOT in the built-in list, the calling model should resolve coordinates from its own world knowledge and pass longitude + latitude instead of this `city` parameter. Only pass `city` when it is one of the ~90 cached cities.
longitudeNo出生地经度 (° E, 西经为负)。与 latitude 一起提供以精确指定位置并绕过城市缓存。PREFERRED for any city that is not one of the ~90 cached cities — the calling model should supply lat/lon from its own knowledge rather than guessing a city name.
latitudeNo出生地纬度 (° N, 南纬为负)。与 longitude 配对使用。
useTrueSolarTimeNo是否应用真太阳时修正 (默认 true)。仅在提供了 city 或 longitude+latitude 时生效。关闭后将直接使用钟表时间, 与问真八字等工具口径一致。
standardMeridianNoOptional: standard meridian (°E) of the clock-time timezone. Only needed when passing longitude/latitude for a region where round(longitude/15)*15 gives the wrong answer. Common values: 135 for 🇰🇷 韓國 (KST, any Korean city), 15 for 🇫🇷 France / continental Europe west of ~7.5°E (CET). Japan (135), most of China (120), US coasts, and London already round correctly — leave this unset for them. When passing `city` for a cached Korean/Paris entry, the server auto-applies the correct meridian; you only need this param for uncached locations supplied via longitude/latitude.
sectNo子时分日法: 1 = 23:00-23:59 日干支算明天 (shunshi 默认, 与问真一致), 2 = 23:00-23:59 日干支算当天。

TDQS

A4.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It explains built-in true solar time correction, city cache, fallback logic, and default settings. However, it does not explicitly state read-only nature or error handling, which would have improved transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections and front-loaded main purpose. However, it repeats some information (e.g., city cache details) and is lengthy, which slightly reduces conciseness given the complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 12 parameters and no output schema, the description is very complete. It explains all parameter usage, defaults, edge cases, and even attribution. It also hints at output components. No major gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% coverage, but description adds significant context: rationale for standardMeridian, preference for coordinates, default behavior of useTrueSolarTime, and sect meaning. This goes beyond schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool computes a full Bazi chart from birth details. It specifies the resource (Bazi chart) and the action (computes), and provides additional context about the engine. Since there are no sibling tools, no differentiation needed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit guidance on when to use city vs longitude/latitude, how to resolve coordinates, fallback behavior, and attribution. It explains preferred methods and when to avoid passing city, providing clear usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedgetBaziChart

TDQS

A4.6/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so no possibility of confusion between tools.

Naming Consistency5/5

With a single tool, naming is inherently consistent.

Tool Count4/5

A single tool is appropriate for a focused server that computes a full Bazi chart, but slightly thin if additional related functionalities were expected.

Completeness4/5

The tool provides comprehensive Bazi chart computation (四柱, 十神, 大运, etc.), covering the core domain. Minor gaps like chart interpretation are not strictly necessary.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

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