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Angel Numbers MCP Server by RoxyAPI

List all angel numbers - Angel number catalog API

get_angel_numbers
Read-only

Retrieve the angel number catalog with summary information. Returns 75+ angel numbers covering root digits (0-9), master numbers (11, 22, 33), double digits (44-99), triple repeating (111-999), quad repeating (1111-9999), the mirror families (X0X like 101-909, X1X, four-digit mirrors like 1212-2121), palindromes (1221, 1331), compound sequences (911, 1122), and sequential numbers (123, 1234). Supports optional type filtering. Perfect for building angel number explorer apps, reference guides, and spiritual databases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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
typeNoFilter results by angel number pattern type. "repeating" returns numbers like 111, 444, 7777. "sequential" returns patterns like 1234. "mirror" returns palindrome or alternating patterns like 1212, 717. "master" returns 11, 22, 33. "root" returns single digits 0-9. "compound" returns mixed sequences with no pure pattern like 911, 1122.
limitNoMaximum items to return per page. Range: 1-50, default 20.
offsetNoNumber of items to skip for pagination. Default 0.
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.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYes
totalYes
offsetYes
numbersYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / offset / default
      Added value: +0
    • addedInput schema / properties / offset / minimum
      Added value: +0
  2. Changed3 schema fields changed
    • removedInput schema / properties / offset / default
      Removed value: -0
    • removedInput schema / properties / offset / minimum
      Removed value: -0
    • changedInput schema / properties / offset / type
      Previous value: -[
      -  "integer",
      -  "null"
      -]New value: +"integer"
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "limit": {
      +      "type": "number"
      +    },
      +    "numbers": {
      +      "items": {
      +        "properties": {
      +          "coreMessage": {
      +            "type": "string"
      +          },
      +          "digitRoot": {
      +            "type": "number"
      +          },
      +          "energy": {
      +            "type": "string"
      +          },
      +          "keywords": {
      +            "items": {
      +              "type": "string"
      +            },
      +            "type": "array"
      +          },
      +          "number": {
      +            "type": "string"
      +          },
      +          "title": {
      +            "type": "string"
      +          },
      +          "type": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "number",
      +          "title",
      +          "coreMessage",
      +          "type",
      +          "digitRoot",
      +          "keywords",
      +          "energy"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "offset": {
      +      "type": "number"
      +    },
      +    "total": {
      +      "type": "number"
      +    }
      +  },
      +  "required": [
      +    "total",
      +    "limit",
      +    "offset",
      +    "numbers"
      +  ],
      +  "type": "object"
      +}
  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: +[
      +  {}
      +]
    • 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. Changed1 schema field changed
    • changedInput schema / properties / offset / type
      Previous value: -"integer"New value: +[
      +  "integer",
      +  "null"
      +]
  7. Changed1 schema field changed
    • 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."
  8. Changed1 schema field changed
    • 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"
      +}
  9. Added

TDQS

B3.2/5.0
Behavior3/5

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 useful scope context (75+ entries, the pattern families covered), but says nothing about pagination defaults, ordering, or rate limits beyond what the schema states.

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?

Purpose is front-loaded in the first sentence and the second sentence efficiently conveys catalog breadth. However, the long enumeration of number families (root, master, double, triple, quad, mirrors, palindromes, compound, sequential) largely duplicates the type enum descriptions, and the final app-marketing sentence does not earn its place.

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?

An output schema exists, so return-value detail is unnecessary, and the description correctly frames this as a summary listing. Combined with 100% schema coverage and read-only annotations, an agent has enough to call it correctly; only the lack of sibling routing and pagination behavior keeps it from a 5.

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%, so each of the five parameters (lang, type, limit, offset, compact) is already fully documented with enums, defaults, and ranges. The description only echoes 'optional type filtering' and adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('Retrieve the angel number catalog with summary information') and clarifies it is the full listing rather than a single-number lookup, which implicitly separates it from get_angel_numbers_number. It never names the sibling tools explicitly, so the differentiation is inferred rather than stated.

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

Usage Guidelines2/5

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

The description offers no when-to-use guidance relative to the three sibling tools (lookup, number, daily). The closing sentence ('Perfect for building angel number explorer apps, reference guides, and spiritual databases') is audience marketing, not usage routing, and 'Supports optional type filtering' restates a schema capability rather than a selection condition.

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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