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Kabbalah MCP Server by RoxyAPI

List the Hebrew letters - Hebrew alphabet API with the Sefer Yetzirah attributions

get_kabbalah_letters
Read-only

Return all 22 Hebrew letters with their numeric value, their final form, their Sefer Yetzirah class, the element or planet or sign they carry under the requested reading, the tarot trump on their path and the path number itself. The letter attributions are a documented school split rather than a fixed table, so the reading is a request parameter and the response echoes which one produced the answer. Built for letter reference pages, tarot apps that render the paths, and any feature that has to say what a letter carries and on whose authority.

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
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.
letterAttributionNoWhich reading assigns the element, planet or sign to each letter. The seven double letters are the contested column and the four readings genuinely disagree on them; the twelve simple letters run in natural zodiacal order in all four. The golden-dawn member does NOT exchange He and Tzade, which is a later change from a different author.sefer-yetzirah-gra

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With readOnlyHint=true and destructiveHint=false already present, the description adds meaningful context beyond the annotations: the attributions are a 'documented school split rather than a fixed table' and 'the response echoes which one produced the answer.' This explains the flexible nature of the data and the echo behavior, which an agent would not infer from schema alone.

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 description is two sentences and front-loads the core return payload before moving to the school-split nuance and intended use cases. Every sentence earns its place; it could be slightly tighter but is not bloated or repetitive.

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 there is no output schema, the description compensates by enumerating the returned fields and noting that the response echoes the chosen reading. Combined with 100% parameter schema coverage and read-only annotations, an agent has enough context to invoke the tool correctly, though a brief note on the response envelope would make it fully complete.

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 the schema already fully documents all three parameters, including enums, defaults, and the compact format behavior. The description adds only a high-level reference to 'the requested reading' without supplementing the schema's parameter details, so the baseline score 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 opens with a specific verb and resource: 'Return all 22 Hebrew letters' and enumerates exactly which attributes are included (numeric value, final form, class, element/planet/sign, tarot trump, path number). This clearly distinguishes it from sibling get_kabbalah_letters_id, which targets a single letter, by emphasizing 'all 22.'

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 explicit use cases: 'letter reference pages, tarot apps that render the paths, and any feature that has to say what a letter carries and on whose authority.' It does not explicitly name alternative tools or state when not to use it, but the 'all 22' scope strongly implies the contrast with a single-letter endpoint.

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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools are cleanly separated by resource and verb: collection/detail variants exist for letters and names, tree vs single sephirah is clear, and compute endpoints are distinct. The only meaningful overlap is post_kabbalah_gematria and post_kabbalah_name_profile, which both score a name across gematria ciphers and display candidate Hebrew spellings; the descriptions differentiate their outputs but an agent could easily select the wrong one.

Naming Consistency5/5

Every tool follows the same verb_kabbalah_resource pattern, with get_ for reference lookups and post_ for computations. snake_case is used throughout, and detail variants are marked consistently with _id or _number.

Tool Count5/5

Twelve tools is well within the ideal range and each tool covers a distinct area: catalogues, letters, names, sephirot/tree, daily Omer, and name calculations. The surface is broad enough to be useful without feeling inflated.

Completeness5/5

The API covers the core domain comprehensively: reference data for ciphers, letters, 72 names, sephirot/tree, dated Omer count, and the main name-scoring operations including compatibility. CRUD is not applicable for a read-only/compute server, and get_kabbalah_tree already provides collection-level sephirot data, so there are no obvious dead ends.

Resources