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Vedic Astrology and Kundli MCP Server by RoxyAPI

Get Chara Karakas including Atmakaraka - Jaimini Karaka Calculator API

post_vedic_astrology_chara_karakas
Read-only

Calculate the Chara Karakas of Jaimini astrology from birth details: the movable significators assigned by ranking each graha on how far it has advanced into its sign. The highest becomes the Atmakaraka, the soul significator and the strongest influence in the chart, and the rest take the Amatya, Bhratri, Matri, Pitri, Putra, Gnati and Dara offices in descending order. Supports both the eight-karaka scheme, where Rahu is included with its degree reversed, and the seven-karaka scheme that excludes the nodes, because the two can name a different Atmakaraka for the same chart. Atmakaraka calculator API, Darakaraka, Jaimini chara karaka, Vedic astrology soul significator.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesBirth date in YYYY-MM-DD format. Date determines planetary positions and nakshatra calculations for Vedic kundli (janam patri). Accurate birth date is essential for dashas, yoga calculations, and divisional charts (vargas).
langNoResponse language (BCP 47). Supported: en, tr, de, es, hi, pt, fr, ru, zh-Hans, zh-Hant. Defaults to en. Coverage varies by domain, and a field with no translation in the requested language returns English.en
timeYesBirth time in 24-hour HH:MM:SS format. Time is CRITICAL for Lagna (Ascendant) calculation and house divisions. It changes every two hours roughly. Even minutes matter for accurate nakshatra pada and divisional chart (D9, D10) calculations. Without exact time, Lagna and house-based predictions will be incorrect.
schemeNoWhich Chara Karaka scheme to rank. "eight" includes Rahu, counting its degree in reverse because it moves retrograde, and returns eight offices including Pitrikaraka. "seven" ranks only the seven classical grahas and drops Pitrikaraka. Ketu is excluded from both, since it always mirrors the Rahu degree exactly. The two schemes can produce a different Atmakaraka for the same chart, so select the one your reference software uses. Defaults to "eight".eight
compactNoSet true for the same data in a compact shape: arrays of same-shaped objects arrive columnar as {"__cols":[names],"__rows":[[values]]}. Lossless, typically 40 to 52 percent fewer tokens.
ayanamsaNoSidereal frame (ayanamsa) the chart is cast in. "lahiri" is Lahiri/Chitrapaksha, the traditional Vedic standard used by most software, and is the default. "raman" is the B.V. Raman ayanamsa from Hindu Predictive Astrology, about 1.45 degrees below Lahiri. "kp-newcomb" and "kp-old" are the two Krishnamurti Paddhati frames. "custom" takes your own value in degrees via ayanamsaValue, for reconciling exactly against a specific reference program. The frame rotates the whole zodiac, so a graha sitting within 1.45 degrees of a boundary can change rashi or nakshatra when you switch: pick the one your reference software uses and keep it.lahiri
latitudeYesBirth location latitude in decimal degrees. Location determines local sidereal time for Lagna calculation and affects bhava (house) cusps. Example: Delhi 28.6139, Mumbai 19.0760, Kathmandu 27.7172.
timezoneNoTimezone: an IANA name (e.g. "America/New_York", "Europe/London", or `cities[0].timezone` from /location/search) or decimal hours from UTC (e.g. -5 for EST, 5.5 for IST). An IANA name is resolved to the offset in force at the given date and time. Defaults to 5.5.
longitudeYesBirth location longitude in decimal degrees. Affects local time calculations and ayanamsha adjustments. Example: Delhi 77.2090, Mumbai 72.8777, Kathmandu 85.3240.
ayanamsaValueNoCustom ayanamsa value in degrees. When provided, overrides the computed ayanamsa from the selected type. Use for testing with specific ayanamsa values or matching a particular reference source.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
frameYes
schemeYes
karakasYes
atmakarakaYes
darakarakaYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / timezone / description
      Previous value: -"Timezone: IANA name (e.g. \"America/New_York\", \"Europe/London\") OR decimal hours from UTC (e.g. -5 for EST, 1 for CET). IANA strings are resolved to the offset in force at the given date and time, so you can pass `cities[0].timezone` from /location/search directly. Defaults to 5.5."New value: +"Timezone: an IANA name (e.g. \"America/New_York\", \"Europe/London\", or `cities[0].timezone` from /location/search) or decimal hours from UTC (e.g. -5 for EST, 5.5 for IST). An IANA name is resolved to the offset in force at the given date and time. Defaults to 5.5."
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "atmakaraka": {
      +      "type": "string"
      +    },
      +    "darakaraka": {
      +      "type": "string"
      +    },
      +    "frame": {
      +      "properties": {
      +        "ayanamsa": {
      +          "type": "string"
      +        },
      +        "ayanamsaDegrees": {
      +          "type": "number"
      +        }
      +      },
      +      "required": [
      +        "ayanamsa",
      +        "ayanamsaDegrees"
      +      ],
      +      "type": "object"
      +    },
      +    "karakas": {
      +      "items": {
      +        "properties": {
      +          "abbreviation": {
      +            "type": "string"
      +          },
      +          "degreeInRashi": {
      +            "type": "number"
      +          },
      +          "graha": {
      +            "type": "string"
      +          },
      +          "id": {
      +            "type": "string"
      +          },
      +          "isReversed": {
      +            "type": "boolean"
      +          },
      +          "meaning": {
      +            "type": "string"
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "rankingDegree": {
      +            "type": "number"
      +          },
      +          "rashi": {
      +            "type": "string"
      +          },
      +          "significations": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "id",
      +          "name",
      +          "abbreviation",
      +          "graha",
      +          "rashi",
      +          "degreeInRashi",
      +          "rankingDegree",
      +          "isReversed",
      +          "meaning",
      +          "significations"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "scheme": {
      +      "enum": [
      +        "seven",
      +        "eight"
      +      ],
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "frame",
      +    "scheme",
      +    "atmakaraka",
      +    "darakaraka",
      +    "karakas"
      +  ],
      +  "type": "object"
      +}
  3. Changed1 schema field changed
    • changedInput schema / properties / timezone / description
      Previous value: -"Timezone: IANA name (e.g. \"America/New_York\", \"Europe/London\") OR decimal hours from UTC (e.g. -5 for EST, 1 for CET). IANA strings are resolved to the DST-correct offset for the given date, so you can pass `cities[0].timezone` from /location/search directly. Defaults to 5.5."New value: +"Timezone: IANA name (e.g. \"America/New_York\", \"Europe/London\") OR decimal hours from UTC (e.g. -5 for EST, 1 for CET). IANA strings are resolved to the offset in force at the given date and time, so you can pass `cities[0].timezone` from /location/search directly. Defaults to 5.5."
  4. Changed2 schema fields changed
    • changedInput schema / properties / lang / description
      Previous value: -"Response language (ISO 639-1). Supported: en, tr, de, es, hi, pt, fr, ru. Defaults to en. Languages without translations yet return English."New value: +"Response language (BCP 47). Supported: en, tr, de, es, hi, pt, fr, ru, zh-Hans, zh-Hant. Defaults to en. Coverage varies by domain, and a field with no translation in the requested language returns English."
    • changedInput schema / properties / lang / enum
      Previous value: -[
      -  "en",
      -  "tr",
      -  "de",
      -  "es",
      -  "hi",
      -  "pt",
      -  "fr",
      -  "ru"
      -]New value: +[
      +  "en",
      +  "tr",
      +  "de",
      +  "es",
      +  "hi",
      +  "pt",
      +  "fr",
      +  "ru",
      +  "zh-Hans",
      +  "zh-Hant"
      +]
  5. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "date": "1990-07-04",
      +    "latitude": 28.6139,
      +    "longitude": 77.209,
      +    "time": "10:12:00"
      +  }
      +]
    • changedInput schema / properties / compact / description
      Previous value: -"Set true to receive the exact same data in a token-optimized shape that is cheaper for you to read: whitespace is stripped and every array of same-shaped objects is encoded columnar as {\"__cols\":[field names],\"__rows\":[[values]]}, so each field name is sent once instead of once per row. Fully lossless (no field or value is dropped or changed) and typically 40 to 52 percent fewer tokens on large results. Prefer true whenever token or inference cost matters. Default false returns standard indented JSON."New value: +"Set true for the same data in a compact shape: arrays of same-shaped objects arrive columnar as {\"__cols\":[names],\"__rows\":[[values]]}. Lossless, typically 40 to 52 percent fewer tokens."
  6. Changed2 schema fields changed
    • addedInput schema / properties / ayanamsa
      Added value: +{
      +  "default": "lahiri",
      +  "description": "Sidereal frame (ayanamsa) the chart is cast in. \"lahiri\" is Lahiri/Chitrapaksha, the traditional Vedic standard used by most software, and is the default. \"raman\" is the B.V. Raman ayanamsa from Hindu Predictive Astrology, about 1.45 degrees below Lahiri. \"kp-newcomb\" and \"kp-old\" are the two Krishnamurti Paddhati frames. \"custom\" takes your own value in degrees via ayanamsaValue, for reconciling exactly against a specific reference program. The frame rotates the whole zodiac, so a graha sitting within 1.45 degrees of a boundary can change rashi or nakshatra when you switch: pick the one your reference software uses and keep it.",
      +  "enum": [
      +    "kp-newcomb",
      +    "kp-old",
      +    "lahiri",
      +    "raman",
      +    "custom"
      +  ],
      +  "example": "lahiri",
      +  "type": "string"
      +}
    • addedInput schema / properties / ayanamsaValue
      Added value: +{
      +  "description": "Custom ayanamsa value in degrees. When provided, overrides the computed ayanamsa from the selected type. Use for testing with specific ayanamsa values or matching a particular reference source.",
      +  "example": 24,
      +  "type": "number"
      +}
  7. Added

TDQS

A4.4/5.0
Behavior5/5

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

The description adds substantial behavioral detail beyond the already-present readOnlyHint and destructiveHint annotations: it explains that Rahu's degree is reversed in the eight-karaka scheme, that Ketu is excluded because it mirrors Rahu exactly, and that the two schemes can yield a different Atmakaraka for the same chart. This tells the agent what to expect from the calculation without contradicting the annotations.

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 main explanation is front-loaded with the core purpose and is appropriately detailed for a specialized astrological calculation. The trailing comma-separated keyword list ('Atmakaraka calculator API, Darakaraka, Jaimini chara karaka...') is redundant filler and keeps it from a perfect score.

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 the richness of the input schema, the presence of an output schema, and the read-only annotations, the description is complete enough for an agent to call the tool correctly. It covers the core algorithm, the scheme variants, and the key astrological distinction that affects results.

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

Parameters3/5

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

Parameter schema coverage is 100%, so the baseline is 3 even though the top-level description does not repeat parameter details. The description does add astronomical context about scheme differences, but those semantics are already echoed in the 'scheme' parameter description.

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 uses a specific verb and resource: 'Calculate the Chara Karakas of Jaimini astrology from birth details' and precisely defines what Chara Karakas are. It clearly differentiates this endpoint from the many sibling Vedic astrology tools by naming the exact outputs (Atmakaraka, Amatya, Bhratri, etc.) and the two karaka schemes.

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

Usage Guidelines4/5

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

The description gives clear context for when this tool is appropriate: when the user needs Chara Karakas, Darakaraka, or the Atmakaraka specifically. It also provides actionable selection guidance for the 'seven' vs 'eight' scheme based on the user's reference software, though it does not explicitly name alternatives among the sibling tools.

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

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