Vedic Astrology and Kundli MCP Server by RoxyAPI

Get planetary positions - Graha Positions API

post_vedic_astrology_planetary_positions

Read-only

Get simplified planetary positions (graha positions) for all 9 planets (Sun through Ketu) plus Ascendant (Lagna). Real-time planet transit calculator for Vedic astrology. Navagraha positions API with nakshatra, pada, and rashi details. Includes house number placement using Whole Sign house system from Lagna. Faster response for basic planetary data without full chart structure. Perfect for planetary alignment tracking, daily transit updates, and astrology widgets.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`date`	Yes	Birth 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).
`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
`time`	Yes	Birth 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.
`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.
`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
`latitude`	Yes	Birth 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.
`timezone`	No	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.
`longitude`	Yes	Birth location longitude in decimal degrees. Affects local time calculations and ayanamsha adjustments. Example: Delhi 77.2090, Mumbai 72.8777, Kathmandu 85.3240.
`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
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 23, 2026

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."

Changed1 schema field changedSep 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": {
+    "properties": {
+      "awastha": {
+        "enum": [
+          "Bala",
+          "Kumara",
+          "Yuva",
+          "Vriddha",
+          "Mrita"
+        ],
+        "type": "string"
+      },
+      "combustionDistance": {
+        "type": "number"
+      },
+      "graha": {
+        "type": "string"
+      },
+      "house": {
+        "type": "number"
+      },
+      "isCombust": {
+        "type": "boolean"
+      },
+      "isRetrograde": {
+        "type": "boolean"
+      },
+      "latitude": {
+        "type": "number"
+      },
+      "longitude": {
+        "type": "number"
+      },
+      "nakshatra": {
+        "properties": {
+          "characteristics": {
+            "type": "string"
+          },
+          "deity": {
+            "type": "string"
+          },
+          "key": {
+            "type": "number"
+          },
+          "name": {
+            "type": "string"
+          },
+          "pada": {
+            "type": "number"
+          },
+          "symbol": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "name",
+          "pada",
+          "key"
+        ],
+        "type": "object"
+      },
+      "rashi": {
+        "type": "string"
+      },
+      "rashiDetails": {
+        "properties": {
+          "characteristics": {
+            "type": "string"
+          },
+          "energy": {
+            "type": "string"
+          },
+          "symbol": {
+            "type": "string"
+          },
+          "vedicName": {
+            "type": "string"
+          }
+        },
+        "type": "object"
+      }
+    },
+    "required": [
+      "graha",
+      "rashi",
+      "longitude",
+      "house",
+      "nakshatra",
+      "isRetrograde"
+    ],
+    "type": "object"
+  },
+  "type": "object"
+}

Changed1 schema field changedSep 16, 2026

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."

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: +[
+  {
+    "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"
+}

Changed2 schema fields changedJul 12, 2026

changedInput schema / 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 / 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

A3.9/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds behavioral value beyond that by emphasizing 'simplified', 'faster response', 'without full chart structure', and the 'Whole Sign house system from Lagna', which are real selection-relevant traits. It does not go into response limits or error behavior, but given the existing annotations and output schema, the disclosure is adequate.

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 content is front-loaded with the core action and scope, and the later sentences earn their place by adding differentiators and use cases. There is a little redundancy in 'Real-time planet transit calculator' and 'Navagraha positions API', but overall it is compact and easy to scan.

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?

For a read-only calculator with a rich input schema and an existing output schema, the description is nearly complete: it states the computed elements, the house system, the performance profile, and appropriate use cases. The main gap is that it doesn't clarify how it differs from the sibling monthly or transit endpoints, which an agent may need to pick between them.

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%, and each parameter already has detailed documentation (format, defaults, examples, effects on Lagna, nakshatra, ayanamsa). The tool description itself adds no parameter-level meaning beyond enumerating output content, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Get simplified planetary positions ... for all 9 planets ... plus Ascendant (Lagna)', and it clarifies what the data includes (nakshatra, pada, rashi, house number). It distinguishes itself from full-chart tools with 'without full chart structure', but it does not name or compare against close siblings like the monthly positions or transit endpoints.

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 application context: 'Faster response for basic planetary data' and 'perfect for planetary alignment tracking, daily transit updates, and astrology widgets.' It implies when this lightweight endpoint is appropriate, but it never states exclusions or points to an alternative for fuller charts or date ranges, so the guidance is context-rich rather than explicit.

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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