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Espivc

ming-metaphysics-mcp

by Espivc

ming-metaphysics-mcp

Five Chinese metaphysics engines as MCP tools for Claude Desktop and any MCP-compatible client.

vs Cantian's bazi-mcp

Dimension

Cantian bazi-mcp

Ming ming-metaphysics-mcp

Arts covered

BaZi only

All five — BaZi + QMDJ + ZWDS + Feng Shui + I Ching

Engine depth

Good BaZi implementation

9.0–9.5/10 expert-verified across all five engines

Classical sourcing

Not documented

子平真詮, 淵海子平, 紫微斗數全書 + 108-title library cited

Output quality

Competent readings

Scholar-validated, bilingual (EN/ZH), report-grade depth

Consultation funnel

None

Master reading available via Ming Bot (link TBA)

Kua + Eight Mansions

QMDJ timing

✅ (sxtwl Ju computation)

I Ching (Liu Yao)

✅ (classical 納甲法)


Tools

Tool

Engine

Description

ming_bazi_analyze

BaZi 八字

Four Pillars chart — Day Master, pattern, luck pillars

ming_qmdj_direction

QMDJ 奇門

Optimal direction + timing window for a date

ming_zwds_chart

ZWDS 紫微

Twelve-palace natal chart with 四化 transformations

ming_fengshui_flying_stars

Feng Shui 風水

Kua number + Eight Mansions directional analysis

ming_iching_cast

I Ching 易經

Hexagram via classical 納甲法 (Liu Yao)

ming_full_forecast

All four birth-data engines

Integrated five-engine forecast with confidence score


Engine requirement

This package is an MCP wrapper. It does not contain metaphysics calculation logic — it forwards tool calls to a Ming engine endpoint over HTTP. To use it, point MING_API_URL at a running engine.

Two ways to get an engine:

  1. Hosted endpoint (preferred, when available). A public Ming endpoint will be announced; once available, configure MING_API_URL to point at it and you're done.

  2. Self-host. The Ming engine itself is currently a closed-source reference implementation. If you have access to the Ming codebase, run uvicorn api.main:app --port 8000 and point this MCP at localhost:8000.

Without a reachable engine, the MCP server starts and lists tools, but tool calls return an HTTP error.

Install

Step 1 — Ensure an engine is reachable

See "Engine requirement" above.

Step 2 — Install the MCP server

npm install -g ming-metaphysics-mcp

Step 3 — Add to claude_desktop_config.json

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "ming": {
      "command": "ming-metaphysics-mcp",
      "args": [],
      "env": {
        "MING_API_URL": "http://localhost:8000"
      }
    }
  }
}

Restart Claude Desktop. The Ming tools will appear in the tools list.

Verification

In Claude Desktop:

Using the ming_bazi_analyze tool, analyze the chart for someone born 1990-03-15, male, in Singapore.

You should get a full BaZi reading. If the tool errors, verify the Python engine is running at port 8000.


Endpoint Gaps

The following capabilities require FastAPI expansion before they fully function as specified. Each is flagged with a note in the tool response — no silent failures.

Gap

Affected Tool

Required FastAPI Change

Annual flying star map for a specific year

ming_fengshui_flying_stars

/consult needs a year query parameter to compute annual stars for years other than current

ming_full_forecast

/consult computes annual analysis against the current year internally; it does not accept a target year

Full ISO casting_timestamp

ming_iching_cast

/iching-cast accepts date (YYYY-MM-DD) and hour_branch separately, not an ISO 8601 timestamp; only the date portion is forwarded

All individual tools

The spec assumed /consult would accept engine-name goals, but the real endpoint uses purpose goals (wealth/career/health/relationship/general). Individual tools route to dedicated per-engine endpoints instead (/analyze, /zwds, /qmdj, /iching-cast)

To implement year-specific flying stars or forecast_year support, add those parameters to /consult in api/main.py and update the corresponding tool handlers here.


Development

git clone <this-repo>
cd ming-metaphysics-mcp
npm install
npm run build          # compile TypeScript → dist/
npm test               # smoke tests (no engine required)

# With engine running at localhost:8000:
npx ts-node scripts/benchmark.ts --tool all --iterations 5

Environment variables

Variable

Default

Description

MING_API_URL

http://localhost:8000

Base URL of the Ming FastAPI engine

Latency targets

Tool

Target

ming_bazi_analyze

< 3s

ming_qmdj_direction

< 3s

ming_fengshui_flying_stars

< 3s

ming_zwds_chart

< 5s

ming_full_forecast

< 5s

ming_iching_cast

< 3s

If any tool exceeds 5s consistently, check the engine bottleneck and consider adding timeout: 10000 to the MCP config.


Auth

None at the wrapper level — this server is open-source and free (MIT license). Authentication, if any, is enforced by whatever endpoint MING_API_URL points at.


For a complete five-engine reading

A guided five-engine consultation (BaZi + ZWDS + QMDJ + Feng Shui + I Ching synthesised by Master Chen) is available via Ming's Telegram bot. Link will be published once the bot is in public beta.


Privacy

This MCP wrapper itself does not collect data. It forwards your tool arguments (birth date, hour, gender, question text) to whichever MING_API_URL you configured. If you point at a hosted endpoint, that endpoint receives the data — read its privacy policy. If you self-host, nothing leaves your network.

Birth data is sensitive. If you're configuring this for end users, be explicit about which endpoint receives their inputs.


Project status

This package is at version 1.0.0. The MCP protocol surface (6 tools, JSON schemas, response shapes) is stable. The underlying Ming engine evolves faster — minor numeric changes in tool responses are normal.

Contributions welcome — see CONTRIBUTING.md.


License

MIT — see LICENSE.

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