Advanced techniques

Career-Category Fit Classifier (KP, 8 categories)

get_career_signature

Scores the chart against 8 named career categories (IT/software, government, business, military/defence, medicine, law, arts/creative, education/academia) per KP Reader 3 ch.27-43 signatures. Each category gets a 0-100 score with concrete signature hits. Also emits cross-cutting axes: sector class (government / private / self / mixed), employment mode (employment / business / mixed), and leadership / technical / creative scores (each 0-100). Use this for 'what is this person suited for'; pair with get_profession_description for 'describe the actual profession' and get_career_advanced for 'when promotion vs job-change'.

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 \| lahiri \| raman \| true_chitra	No	Ayanamsa system. Defaults to kp.

Example call

Send the request as a standard MCP tools/call:

POST https://mcp.lumin.guru/mcp
Content-Type: application/json

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

Engine endpoint

This tool delegates to the kp-engine endpoint:

POST /v1/kp/career/signature

The engine is a private internal service. All public access flows through the MCP server, which handles auth, rate limiting, and response compaction.

Birth data

This tool requires birth data. If you have already called set_birth_profile in the same conversation, the MCP server injects those fields automatically and you can omit them from the call.