Advanced techniques

Mundane KP Analysis for National / Institutional Charts

get_mundane_analysis

Unified mundane-KP endpoint for a national chart (for example India 1947-08-15 IST) or a company incorporation chart. Returns: current MD/AD lord by house signification (B21), epidemic signature scorer (B22, Mercury+Moon+Ketu+6/8/12 cluster), weather signature (B23, water-sign Moon, cardinal lagna, Saturn/Venus/Mars on 4th; sparsely covered in books), disaster signature (B24, Mars-Rahu axis, Mars on 8, Rahu on 4). Each scorer returns signatures[] (only fired ones contribute), score 0-100, riskBand NONE/LOW/NOTABLE/HIGH/CRITICAL, notes. Includes topScorer for quick triage. Strict 9-graha (no outer planets). Historical and content-marketing lens, not an engineering-grade forecast; never present output as confirmed prediction of disasters, epidemics, or weather events.

Parameters

Name	Type	Required	Description
birth_datetime	string	Yes	Birth date and time in ISO 8601 format (e.g., "1990-05-15T14:30:00").
latitude	number	Yes	Birth location latitude. Range: -90 to 90.
longitude	number	Yes	Birth location longitude. Range: -180 to 180.
utc_offset_minutes	number	Yes	UTC offset in minutes (e.g., 330 for IST, -300 for EST).
ayanamsa	enum: kp \| kp_new \| lahiri \| raman \| true_chitra \| khullar	No	Ayanamsa system. Defaults to kp.
entity_label	string	No	Human-readable label, e.g. 'India_1947' or 'AcmeCorp_Incorporation'.

Example call

Send the request as a standard MCP tools/call:

http

POST https://mcp.lumin.guru/mcp
Authorization: Bearer mcp_yourkey...
Accept: application/json, text/event-stream
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_mundane_analysis",
    "arguments": {
      "birth_datetime": "1992-08-14T04:32:00",
      "latitude": 6.927,
      "longitude": 79.861,
      "utc_offset_minutes": 330,
      "ayanamsa": "kp"
    }
  }
}

Birth data

This tool requires birth data on every call. The MCP server is stateless, so calling set_birth_profile first validates the data and returns the reading plan, but it does not store anything. Repeat the same five fields here.