Numerology MCP Server by RoxyAPI

Calculate Maturity number - Realization number numerology API

post_numerology_maturity

Read-only

Calculate the Maturity number, also called the Realization number, from the Life Path and Expression numbers with Pythagorean numerology. Send a full birth name and birth date, the two numbers precomputed, or one of each; master numbers 11, 22 and 33 are kept at full value and in the result. The Maturity number describes who a person grows into in the second half of life, usually felt from around 35 to 40, and the response returns the calculation and a full interpretation in the language set by lang. Built for life coaching apps, midlife and later-life guidance, and AI agents.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`day`	No	Birth day (1-31). Required with year and month for automatic Life Path calculation.
`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
`year`	No	Birth year to calculate Life Path automatically. Use with month and day instead of passing lifePath directly.
`month`	No	Birth month (1-12). Required with year and day for automatic Life Path calculation.
`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.
`fullName`	No	Full birth name to calculate the Expression number automatically. Use instead of passing expression directly. A name in any script is converted to Latin letters before it is counted, Cyrillic and Greek as the passport spelling and accents folded to the base letter, and the calculation lists the letters counted. For a script that does not write its vowels, send the Latin spelling the person uses.
`lifePath`	No	Your Life Path number (1-9, 11, 22, 33). Optional if year, month, day are provided.
`expression`	No	Your Expression number (1-9, 11, 22, 33). Optional if fullName is provided.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`type`	Yes
`number`	Yes
`meaning`	Yes
`calculation`	Yes
`hasKarmicDebt`	Yes
`karmicDebtNumber`	No
`karmicDebtMeaning`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 1, 2026

changedInput schema / properties / fullName / description

Previous value: -"Full birth name to calculate Expression number automatically. Use instead of passing expression directly."New value: +"Full birth name to calculate the Expression number automatically. Use instead of passing expression directly. A name in any script is converted to Latin letters before it is counted, Cyrillic and Greek as the passport spelling and accents folded to the base letter, and the calculation lists the letters counted. For a script that does not write its vowels, send the Latin spelling the person uses."

Changed1 schema field changedSep 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "calculation": {
+      "type": "string"
+    },
+    "hasKarmicDebt": {
+      "type": "boolean"
+    },
+    "karmicDebtMeaning": {
+      "properties": {
+        "challenge": {
+          "type": "string"
+        },
+        "description": {
+          "type": "string"
+        },
+        "resolution": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "description",
+        "challenge",
+        "resolution"
+      ],
+      "type": "object"
+    },
+    "karmicDebtNumber": {
+      "type": "number"
+    },
+    "meaning": {
+      "properties": {
+        "career": {
+          "type": "string"
+        },
+        "challenges": {
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "description": {
+          "type": "string"
+        },
+        "keywords": {
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "relationships": {
+          "type": "string"
+        },
+        "spirituality": {
+          "type": "string"
+        },
+        "strengths": {
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        },
+        "title": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "title",
+        "keywords",
+        "description",
+        "strengths",
+        "challenges",
+        "career",
+        "relationships",
+        "spirituality"
+      ],
+      "type": "object"
+    },
+    "number": {
+      "type": "number"
+    },
+    "type": {
+      "enum": [
+        "single",
+        "master"
+      ],
+      "type": "string"
+    }
+  },
+  "required": [
+    "number",
+    "calculation",
+    "type",
+    "hasKarmicDebt",
+    "meaning"
+  ],
+  "type": "object"
+}

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: +[
+  {}
+]
```

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."

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"
+}

First observedJul 8, 2026

TDQS

A4.3/5.0

Behavior4/5

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

The annotations already establish this is a safe read-only operation, and the description adds real behavioral context on top: master numbers 11/22/33 are preserved at full value, the calculation lists the letters counted, non-Latin scripts are transliterated, and untranslated fields fall back to English. The only minor gap is no mention of what happens with insufficient input (all params optional).

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 core computation, input modes, and output are front-loaded, which is good structure. The trailing audience sentence ('Built for life coaching apps, midlife and later-life guidance, and AI agents') adds little for an agent deciding how to call the tool and is the one piece of filler.

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?

With an output schema present, the description needn't explain return values, yet it still notes the response includes the calculation plus a full interpretation in lang. Inputs, language fallback, and edge behavior are covered; the only unaddressed case is the minimum required input combination given that no parameters are required.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds genuinely useful meaning about how the optional parameters combine (name+date, precomputed numbers, or a mix) and how lang affects the returned interpretation. That flexibility across zero required params is not fully obvious from the schema alone.

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?

States a specific verb+resource ('Calculate the Maturity number, also called the Realization number') and names the exact inputs it derives from (Life Path and Expression). This differentiates it cleanly from siblings like post_numerology_life_path or post_numerology_expression, which compute those inputs separately.

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?

It clearly lays out the acceptable input modes ('full birth name and birth date, the two numbers precomputed, or one of each'), which is the actionable guidance an agent needs to invoke it. It does not, however, explicitly say when to prefer this over sibling chart/dual tools or name alternatives, so it stops short of 5.

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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