Numerology MCP Server by RoxyAPI

Get number meaning - Numerology number meanings API

get_numerology_meanings_number

Read-only

Get the full numerology meaning of any number 1 to 9 or the master numbers 11, 22 and 33. The response returns the archetype title, keywords, a core description, strengths, challenges, career, relationships and spirituality in the language set by lang, the same reading every core number endpoint returns for that number. Built for numerology reference pages, custom calculators, educational apps and AI agents.

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
`number`	Yes	Numerology number (1-9, 11, 22, 33)
`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.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`type`	Yes
`number`	Yes
`meaning`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "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",
+    "type",
+    "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: +[
+  {
+    "number": "5"
+  }
+]

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

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 genuine value beyond that by enumerating what comes back (archetype title, keywords, core description, strengths, challenges, career, relationships, spirituality) and guaranteeing consistency with the other core-number endpoints. It omits any note on rate limits or partial-translation behavior in the body, though the schema covers the latter.

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?

Front-loads the domain and return contents in two tight sentences. The trailing 'Built for numerology reference pages, custom calculators, educational apps and AI agents' is marketing filler that does not help an agent invoke the tool, costing it the top score.

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 and annotations covering safety, the description need not detail return structure, yet it still summarizes the payload fields usefully. Domain bounds, language behavior and consistency semantics are all covered; only invocation-level guidance relative to siblings is thin.

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 description coverage is 100%, including the lang enum, the number pattern, and the compact columnar-shape explanation, so the schema carries the parameter burden. The description only restates that output follows 'the language set by lang' with no added format or constraint detail, matching the baseline 3.

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 (get) and resource (numerology meaning) and bounds the input domain to 1-9 plus master numbers 11/22/33, which cleanly separates it from get_numerology_compound_number. An agent can identify the tool without opening the schema.

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

Usage Guidelines3/5

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

The phrase 'the same reading every core number endpoint returns for that number' implies this is the canonical core-number lookup, but there is no explicit when-to-use/when-not guidance and no named alternatives among the many post_numerology_* calculation siblings. The audience list ('reference pages, calculators, educational apps') is context, not routing guidance.

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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