Moltline Educator Toolkit

8 curriculum, classroom, accommodations and exam-prep skill products. 5 of 7 free.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
90%
命名品質
94%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~2,497Token(工具定義)
~1.1 KB典型回應大小
中等的注意力影響(128k 上下文的 1.95%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "educator": {
      "url": "https://mcp.moltlinestudio.com/educator"
    }
  }
}

遠端端點

https://mcp.moltlinestudio.com/educatorstreamable-http

它能做什麼

工具清單

工具(7)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢list_products

List the 8 educator products with their included skills. FREE. Takes no arguments. Typical input {} returns a list of 8 product objects, each {"slug": "curriculum-architect-hs", "name": ..., "tagline": ..., "skills": ["Skill A", ...], "free_skill": "Gateway Skill Name"}. Use the returned slug values with get_free_skill, get_full_product, or get_full_skill. Returns metadata only - no persona text and no skill instructions. Use when the caller wants to see what this server covers. Not for keyword search across the whole 138-product catalog, which the catalog server's search_catalog does, and not for instructions the caller can act on (get_free_skill). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "result": {
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "type": "array"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}
🟢get_free_skill(slug)

Load a product's free gateway skill with its complete instructions. FREE. Typical input {"slug": "curriculum-architect-hs"} returns {"slug": ..., "skill": "<skill name>", "instructions": "<full skill text>"}. Returns exactly one skill - the product's free gateway skill - chosen automatically from the slug, with no plan required. Use when the caller wants usable instructions immediately. Not for the product's other skills: those are named and need get_full_skill with a skill_name, which requires a paid plan. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "unknown slug '<value>'. Use list_products."}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

輸入結構描述

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Product slug exactly as returned by list_products, e.g. \"curriculum-architect-hs\"; must be non-empty.",
      "minLength": 1,
      "type": "string"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true
}
🟢readability_report(text, target_grade)

Analyze teaching text with Flesch-Kincaid readability and leveling advice. FREE. Typical input {"text": "<passage>", "target_grade": 6} returns {"flesch_kincaid_grade": 8.2, "reading_ease": 62.1, "sentences": N, "words": N, "avg_words_per_sentence": N, "long_sentences_over_25w": N, "polysyllabic_words_sample": [...], "target_grade": 6, "gap": 2.2, "suggestions": ["..."]}. Use on teaching text where the reading level matters. Not for scores students earned (grade_curve) and not for general prose style, which the creator server's analyze_writing covers. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "empty text"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

輸入結構描述

{
  "type": "object",
  "properties": {
    "text": {
      "description": "The passage to analyze — at least one full sentence of plain text; must be non-empty.",
      "minLength": 1,
      "type": "string"
    },
    "target_grade": {
      "default": 0,
      "description": "Target grade level 1-12; when set, the report adds a gap assessment against it. 0 (default) skips it.",
      "type": "integer"
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true
}
🟢get_full_product(slug)

Load one product in full: its persona plus every paid skill. PREMIUM (license). Typical input {"slug": "curriculum-architect-hs"} returns {"slug": ..., "name": ..., "persona": "<persona text>", "skills": [{"name": ..., "instructions": ...}, ...], "free_skill": {...}}. Returns persona plus every skill for one product. Use when the caller wants the whole product. Not for a single skill (get_full_skill) and not for a free look, which list_products and get_free_skill provide with no plan. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "unknown slug '<value>'"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

輸入結構描述

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Product slug exactly as returned by list_products, e.g. \"curriculum-architect-hs\"; must be non-empty.",
      "minLength": 1,
      "type": "string"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true
}
🟢get_full_skill(slug, skill_name)

Load one paid skill's complete instructions from a product. PREMIUM (license). Typical input {"slug": "curriculum-architect-hs", "skill_name": "unit-planner"} returns {"slug": ..., "skill": ..., "instructions": "<full skill text>"}. Returns one named skill, selected by skill_name. Use when the caller wants one specific paid skill. Not for the free gateway skill, which get_free_skill returns with no plan, and not for every skill at once (get_full_product). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "unknown slug '<value>'"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

輸入結構描述

{
  "type": "object",
  "properties": {
    "slug": {
      "description": "Product slug exactly as returned by list_products, e.g. \"curriculum-architect-hs\"; must be non-empty.",
      "minLength": 1,
      "type": "string"
    },
    "skill_name": {
      "description": "Exact skill name as listed in that product's \"skills\" array from list_products, e.g. \"unit-planner\"; must be non-empty.",
      "minLength": 1,
      "type": "string"
    }
  },
  "required": [
    "slug",
    "skill_name"
  ],
  "additionalProperties": false
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true
}
🟢grade_curve(scores, max_score)

Summarize how an assessment landed: stats, bands, and outliers. FREE. Reports mean, median, std dev, quartiles, distribution by percentage band, and flagged low outliers. Typical input {"scores": [88, 92, 75, 61, 84], "max_score": 100} returns {"n": 5, "mean": 80.0, "median": 84.0, "std_dev": ..., "q1": ..., "q3": ..., "distribution": {"90-100%": 1, ...}, "outliers_low": [...], "reading": "..."}. Use on a list of scores already earned. Not for the readability of the assessment itself (readability_report). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "no scores"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

輸入結構描述

{
  "type": "object",
  "properties": {
    "scores": {
      "description": "Raw scores, one per student; at least 1 value, e.g. [88, 92, 75].",
      "items": {
        "type": "number"
      },
      "minItems": 1,
      "type": "array"
    },
    "max_score": {
      "default": 100,
      "description": "Maximum possible score; must be greater than 0. Default 100.",
      "exclusiveMinimum": 0,
      "type": "number"
    }
  },
  "required": [
    "scores"
  ],
  "additionalProperties": false
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true
}
🟢lesson_timer(minutes, segments)

Split a class period into timed segments with sensible weighting. FREE. The opener and closer get less time; core activities get more. Typical input {"minutes": 50, "segments": ["Warm-up", "Direct instruction", "Practice", "Exit ticket"]} returns {"period_minutes": 50, "plan": [{"segment": "Warm-up", "start_min": 0, "duration_min": 8}, ...], "note": "..."}. Use when one fixed class period must be divided into segments. Not for multi-day planning and not for spaced review, which the personal server's spaced_repetition_plan builds. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need segments and at least 5 minutes"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

輸入結構描述

{
  "type": "object",
  "properties": {
    "minutes": {
      "description": "Length of the class period in minutes; at least 5, e.g. 50.",
      "minimum": 5,
      "type": "integer"
    },
    "segments": {
      "description": "Ordered segment names, e.g. [\"Warm-up\", \"Practice\", \"Exit ticket\"]; at least 1 entry.",
      "items": {
        "type": "string"
      },
      "minItems": 1,
      "type": "array"
    }
  },
  "required": [
    "minutes",
    "segments"
  ],
  "additionalProperties": false
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true
}

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已驗證未記錄版本7 個工具
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