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Education Scope MCP

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Classify Japanese curriculum scope, audit grade limits, and search normalized MEXT data.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Education Scope MCP, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

EDUCATION_SCOPE_MCP

日本の学校教育で、ある知識・用語・解法がどの学校段階・学年・教科の範囲かを判定し、LLMの説明が指定学年を超えていないか監査するMCPサーバーです。

文部科学省の学習指導要領コード表(小学校 82V12 / 中学校 83V11 / 高等学校 84V10)を取得・正規化して検索でき、手作業seedは自然な別名と前提知識グラフの補助データとして併用します。

MCP Registry

  • Registry name: io.github.YAMA-TANA/education-scope-mcp
  • Display name: Education Scope MCP
  • Version: 0.2.0
  • OCI image: ghcr.io/yama-tana/education-scope-mcp:0.2.0
  • Transport: stdio

Registry description:

Classify Japanese school curriculum scope, audit explanations against grade limits, and search 16,887 normalized MEXT curriculum-code entries.

server.json はOfficial MCP Registry向けのmanifestです。.github/workflows/publish-mcp.yml がOCIイメージをGHCRへ公開し、GitHub Actions OIDCでRegistryへ送信します。追加のRegistry用シークレットは不要です。

MCP tools

  • classify_knowledge_scope — 「三平方の定理」「微分」「現在完了」などの教育範囲を判定
  • check_answer_scope — 「中2までで説明して」に高校・中3範囲が混ざっていないか監査
  • search_curriculum — 学校段階・教科・領域・キーワードで公式コード表を検索
  • get_prerequisites — そのトピックを理解するための前提知識を取得
  • list_supported_scopes — 監査に指定できる上限学年を取得
  • get_dataset_status — 全量MEXTデータがロード済みか、コード表別件数とともに確認

例

classify_knowledge_scope("三平方の定理")

config.json
{
  "bestMatch": {
    "stage": "中学校",
    "grade": 3,
    "subject": "数学",
    "topic": "三平方の定理"
  }
}

check_answer_scope("三平方の定理を使います。", "中2")

config.json
{
  "withinTarget": false,
  "exceedsTarget": [
    {
      "stage": "中学校",
      "grade": 3,
      "topic": "三平方の定理"
    }
  ]
}

セットアップ

Node.js 20以上。

Terminal
npm install
npm test

stdio MCP

Terminal
npm run build
npm start

MCPクライアント設定例:

config.json
{
  "mcpServers": {
    "education-scope": {
      "command": "node",
      "args": ["/absolute/path/EDUCATION_SCOPE_MCP/dist/src/index.js"]
    }
  }
}

Docker / OCI

Terminal
docker run --rm -i ghcr.io/yama-tana/education-scope-mcp:0.2.0

Remote HTTP MCP

Terminal
npm run build
PORT=3000 npm run start:http
  • MCP endpoint: http://localhost:3000/mcp
  • health check: http://localhost:3000/health

HTTP実装はMCP TypeScript SDK v2の createMcpHandler を使用しています。

文科省データを全量取り込む

Terminal
npm run import:mext

このコマンドは3つの公式CSVを取得し、raw保存だけでなくMCPが直接読める正規化済みデータまで生成します。

text
data/mext/raw/
  elementary-82V12.json
  junior-high-83V11.json
  high-school-84V10.json
  index.json

data/mext/normalized/
  curriculum-items.json
  summary.json

curriculum-items.json が存在すれば、MCP起動時に自動で読み込みます。存在しない環境でもseed-onlyモードで起動できます。現在どちらのモードかは get_dataset_status で確認できます。

公式コード表から保持する主な情報:

JSON Config
{
  stage,
  grade,
  grades,
  subject,
  course,
  domain,
  topic,
  aliases,
  curriculumCode,
  codeTable,
  itemNumber,
  sectionPath,
  source
}

学年は16桁の学習指導要領コードの学年・段階欄を解釈します。複数学年にまたがるコードは grades に全学年を保持し、学年上限監査では安全側に倒すため、その範囲の上端を grade として使用します。高等学校は学年を推測して付与しません。

自動更新

.github/workflows/refresh-mext.yml は文科省CSVを取得し、正規化・テスト・件数検証を通過した場合だけ data/mext/normalized/ をmainへコミットします。毎月1日の定期更新と手動実行に対応しています。

raw CSV由来JSONはGit管理対象外で、MCPが必要とする正規化済みJSONだけをリポジトリに保持します。

判定設計

公式コード表は「何を扱うか」の一次根拠として優先し、src/data.ts のseedは次の補助用途に残しています。

  • 「三平方」「ピタゴラスの定理」のような自然なalias
  • 概念間の前提知識グラフ
  • 公式データをまだ生成していない環境のフォールバック

check_answer_scope は未登録概念を自動的に「範囲内」とは判定しません。既知概念を1件も検出できない文章は unknownTextPresent: true として安全側に倒します。

データソース

文部科学省「教育データ標準」学習指導要領コード表:

  • https://www.mext.go.jp/a_menu/other/data_00001.htm
  • 小学校 82V12
  • 中学校 83V11
  • 高等学校 84V10

License

MIT

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about Education Scope MCP

We don't have a confirmed install command for Education Scope MCP yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/YAMA-TANA/EDUCATION_SCOPE_MCP) for the current steps.

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Technical Specs & Signals

Category💻Developer Tools
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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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