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

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_career_signature",
    "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.