Vedic Astrology and Kundli MCP Server by RoxyAPI

Calculate compatibility score - Gun Milan API (Ashtakoot Matching)

post_vedic_astrology_compatibility

Read-only

Calculate detailed Ashtakoot compatibility (Gun Milan) for kundli matching between two people. Returns accurate 36-point Guna Milan scale with breakdown across all 8 kootas (Varna, Vashya, Tara, Yoni, Graha Maitri, Gana, Bhakoot, Nadi), Nadi and Bhakoot dosha detection with classical cancellation analysis per Muhurta Martanda and BPHS rules, and marriage recommendation. Perfect for kundli matching for marriage, matrimonial platforms, horoscope compatibility, and Vedic matchmaking services.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`lang`	No	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.	en
`compact`	No	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.
`person1`	Yes	Birth data of the first person (typically the boy/groom in traditional Ashtakoot matching). Date, time, and location determine Moon nakshatra for koota scoring.
`person2`	Yes	Birth data of the second person (typically the girl/bride in traditional Ashtakoot matching). Moon nakshatra compared against person 1 across all 8 kootas.
`ayanamsa`	No	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.	lahiri
`ayanamsaValue`	No	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.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`frame`	Yes
`total`	Yes
`doshas`	Yes
`maxScore`	Yes
`breakdown`	Yes
`percentage`	Yes
`isCompatible`	Yes
`recommendation`	Yes
`doshaCancellations`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedSep 23, 2026

changedInput schema / properties / person1 / 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."

changedInput schema / properties / person2 / 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."

Changed1 schema field changedSep 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "breakdown": {
+      "items": {
+        "properties": {
+          "category": {
+            "type": "string"
+          },
+          "description": {
+            "type": "string"
+          },
+          "maxScore": {
+            "type": "number"
+          },
+          "person1": {
+            "type": "string"
+          },
+          "person2": {
+            "type": "string"
+          },
+          "score": {
+            "type": "number"
+          }
+        },
+        "required": [
+          "category",
+          "score",
+          "maxScore",
+          "person1",
+          "person2",
+          "description"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "doshaCancellations": {
+      "items": {
+        "properties": {
+          "dosha": {
+            "type": "string"
+          },
+          "reason": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "dosha",
+          "reason"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "doshas": {
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    "frame": {
+      "properties": {
+        "ayanamsa": {
+          "type": "string"
+        },
+        "ayanamsaDegrees": {
+          "type": "number"
+        }
+      },
+      "required": [
+        "ayanamsa",
+        "ayanamsaDegrees"
+      ],
+      "type": "object"
+    },
+    "isCompatible": {
+      "type": "boolean"
+    },
+    "maxScore": {
+      "type": "number"
+    },
+    "percentage": {
+      "type": "number"
+    },
+    "recommendation": {
+      "type": "string"
+    },
+    "total": {
+      "type": "number"
+    }
+  },
+  "required": [
+    "frame",
+    "total",
+    "maxScore",
+    "percentage",
+    "isCompatible",
+    "recommendation",
+    "doshas",
+    "doshaCancellations",
+    "breakdown"
+  ],
+  "type": "object"
+}

Changed2 schema fields changedSep 16, 2026

changedInput schema / properties / person1 / 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."

changedInput schema / properties / person2 / 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."

Changed2 schema fields changedAug 25, 2026

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"
+]

Changed2 schema fields changedAug 17, 2026

addedInput schema / examples

Added value: +[
+  {
+    "person1": {
+      "date": "1990-07-04",
+      "latitude": 28.6139,
+      "longitude": 77.209,
+      "time": "10:12:00"
+    },
+    "person2": {
+      "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."

Changed2 schema fields changedAug 2, 2026

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"
+}

Changed1 schema field changedJul 22, 2026

changedInput schema / properties / compact / description

Previous value: -"Return the same data in a token-optimized compact shape (minified, with same-shaped arrays encoded columnar) to reduce LLM token cost. Lossless: no fields are dropped. Default false."New 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."

Changed1 schema field changedJul 22, 2026

addedInput schema / properties / compact

Added value: +{
+  "default": false,
+  "description": "Return the same data in a token-optimized compact shape (minified, with same-shaped arrays encoded columnar) to reduce LLM token cost. Lossless: no fields are dropped. Default false.",
+  "type": "boolean"
+}

Changed4 schema fields changedJul 12, 2026

changedInput schema / properties / person1 / properties / timezone / anyOf

Previous value: -[
-  {
-    "maximum": 14,
-    "minimum": -14,
-    "type": "number"
-  },
-  {
-    "pattern": "^[A-Za-z_]+(?:\\/[A-Za-z0-9_+-]+){0,2}$",
-    "type": "string"
-  }
-]New value: +[
+  {
+    "maximum": 14,
+    "minimum": -14,
+    "type": "number"
+  },
+  {
+    "type": "string"
+  }
+]

changedInput schema / properties / person1 / properties / timezone / description

Previous value: -"Timezone: decimal hours from UTC (e.g. 5.5 for IST, -5 for EST) OR IANA name (e.g. \"Asia/Kolkata\", \"America/New_York\"). 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 (IST)."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 DST-correct offset for the given date, so you can pass `cities[0].timezone` from /location/search directly. Defaults to 5.5."

changedInput schema / properties / person2 / properties / timezone / anyOf

Previous value: -[
-  {
-    "maximum": 14,
-    "minimum": -14,
-    "type": "number"
-  },
-  {
-    "pattern": "^[A-Za-z_]+(?:\\/[A-Za-z0-9_+-]+){0,2}$",
-    "type": "string"
-  }
-]New value: +[
+  {
+    "maximum": 14,
+    "minimum": -14,
+    "type": "number"
+  },
+  {
+    "type": "string"
+  }
+]

changedInput schema / properties / person2 / properties / timezone / description

Previous value: -"Timezone: decimal hours from UTC (e.g. 5.5 for IST, -5 for EST) OR IANA name (e.g. \"Asia/Kolkata\", \"America/New_York\"). 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 (IST)."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 DST-correct offset for the given date, so you can pass `cities[0].timezone` from /location/search directly. Defaults to 5.5."

First observedJul 8, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Annotations already cover read-only and non-destructive hints, so the description doesn't need to repeat that. It adds valuable behavioral context: the specific calculation rules (Muhurta Martanda and BPHS), dosha detection, and marriage recommendation, going beyond the structured annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, front-loaded with the primary function, and contains no redundant or fluff language. It efficiently communicates the tool's scope and output without waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an output schema exists, the description needn't detail return values. It covers the core functionality, the 36-point scale, koota breakdown, dosha detection, and recommendation, which is sufficient for an agent to understand the tool's role. It doesn't mention prerequisites (e.g., accurate birth time), but those are already in the parameter schema.

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?

Schema coverage is 100%, with detailed descriptions for every parameter (e.g., time being critical, location examples). The tool description itself adds no parameter-specific guidance beyond what the schema already provides, so the baseline of 3 is appropriate.

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 clearly states the tool calculates Ashtakoot compatibility (Gun Milan) between two individuals, specifies the 36-point scale and the 8 kootas, and distinguishes it from sibling tools like dashakoot and papasamyam by naming the specific system. The verb and resource are explicit.

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 usage context ('Perfect for kundli matching for marriage, matrimonial platforms...') and implicitly differentiates from other compatibility tools by naming Ashtakoot. However, it does not explicitly state when not to use it or name alternatives, leaving some inference to the agent.

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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