Skip to main content
Glama

I Ching MCP Server by RoxyAPI

Daily hexagram - Daily I-Ching oracle API

post_iching_daily
Read-only

Receive a daily I-Ching hexagram for guidance and reflection. This endpoint uses seeded randomness to ensure the same seed gets the same hexagram on the same day, perfect for "Hexagram of the Day" features in oracle apps, meditation platforms, and daily wisdom tools. Returns the hexagram with judgment, image, and interpretations for love, career, decisions, and practical advice based on ancient Chinese wisdom from the Book of Changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate for the reading in YYYY-MM-DD format. Defaults to today (UTC). Useful for viewing past daily readings or pre-generating future ones.
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
seedNoOptional seed for reproducible readings. Same seed + same date = same hexagram every time. Pass any unique identifier (userId, email hash, session token). Omit for anonymous daily readings.
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
dateYes
seedYes
hexagramYes
dailyMessageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "dailyMessage": {
      +      "type": "string"
      +    },
      +    "date": {
      +      "type": "string"
      +    },
      +    "hexagram": {
      +      "properties": {
      +        "chinese": {
      +          "type": "string"
      +        },
      +        "english": {
      +          "type": "string"
      +        },
      +        "image": {
      +          "type": "string"
      +        },
      +        "interpretation": {
      +          "properties": {
      +            "advice": {
      +              "type": "string"
      +            },
      +            "career": {
      +              "type": "string"
      +            },
      +            "decision": {
      +              "type": "string"
      +            },
      +            "general": {
      +              "type": "string"
      +            },
      +            "love": {
      +              "type": "string"
      +            }
      +          },
      +          "required": [
      +            "general",
      +            "love",
      +            "career",
      +            "decision",
      +            "advice"
      +          ],
      +          "type": "object"
      +        },
      +        "judgment": {
      +          "type": "string"
      +        },
      +        "lowerTrigram": {
      +          "type": "string"
      +        },
      +        "number": {
      +          "type": "number"
      +        },
      +        "pinyin": {
      +          "type": "string"
      +        },
      +        "symbol": {
      +          "type": "string"
      +        },
      +        "upperTrigram": {
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "number",
      +        "symbol",
      +        "chinese",
      +        "english",
      +        "pinyin",
      +        "upperTrigram",
      +        "lowerTrigram",
      +        "judgment",
      +        "image",
      +        "interpretation"
      +      ],
      +      "type": "object"
      +    },
      +    "seed": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "date",
      +    "seed",
      +    "hexagram",
      +    "dailyMessage"
      +  ],
      +  "type": "object"
      +}
  2. 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"
      +]
  3. 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."
  4. 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."
  5. 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"
      +}
  6. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already indicate a read-only, non-destructive operation. The description adds useful behavioral context—seeded randomness for reproducibility and the daily determinism—but does not describe the output format or any potential side effects beyond that. It does not contradict annotations.

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 purpose (receive a daily hexagram) before elaborating on use cases and content. It is appropriately sized for the tool's simplicity, with no filler or redundant details.

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 the presence of an output schema and complete parameter coverage, the description adequately covers what the tool returns (judgment, image, interpretations) and the key behavior (deterministic daily readings). It does not mention error handling or authentication, but these are not critical for a simple read-only endpoint with optional parameters.

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 documentation covers all parameters at 100% coverage, so the description does not need to add much. It reinforces the seed parameter's determinism and mentions the lang fallback behavior, but these are already implied by the schema. The description adds slight value but does not go beyond the schema's explanations.

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 clearly states the tool receives a daily I-Ching hexagram with seeded randomness, and lists the returned content (judgment, image, interpretations). It distinguishes itself from generic random hexagram tools by emphasizing the daily and deterministic nature, though it does not explicitly name sibling tools for contrast.

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 description provides a use case ('Hexagram of the Day' features, meditation platforms) and explains the seed behavior for repeatable daily readings. However, it does not explicitly say when to prefer this tool over alternatives like post_iching_daily_cast or get_iching_hexagrams_random, leaving that inference to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources