# io.github.raphysicst-create/korean-vocational-learning-map-mcp (npm · korean-vocational-learning-map-mcp)

한국 특성화고 전문교과 2022 개정 교육과정 학습 그래프 MCP 서버 (528과목·성취기준 47,625건, 공식 원문 전량 수록)

- Trust score: 74/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-15

## Components

- npm · `korean-vocational-learning-map-mcp`: 74/100 (this document), [markdown](https://verifymcp.io/servers/raphysicst-create-korean-vocational-learning-map-mcp/korean-vocational-learning-map-mcp.md), [page](https://verifymcp.io/servers/raphysicst-create-korean-vocational-learning-map-mcp/korean-vocational-learning-map-mcp)

## Channel facts

- Registry: `npm`
- Package: `korean-vocational-learning-map-mcp`
- Version: `0.3.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-15.

- **Supply Chain Security**: 98/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 30 of 96 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 3 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 86/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 1034 tokens (~94/item across 11 items; 10 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 20/100
  - Stability observed for 6 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add raphysicst-create-korean-vocational-learning-map -- npx -y korean-vocational-learning-map-mcp
```

### Codex

```bash
codex mcp add raphysicst-create-korean-vocational-learning-map -- npx -y korean-vocational-learning-map-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "raphysicst-create-korean-vocational-learning-map": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "korean-vocational-learning-map-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add raphysicst-create-korean-vocational-learning-map --command npx --arg -y --arg korean-vocational-learning-map-mcp
```

### Hermes

```yaml
mcp_servers:
  raphysicst-create-korean-vocational-learning-map:
    command: "npx"
    args: ["-y", "korean-vocational-learning-map-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "raphysicst-create-korean-vocational-learning-map": {
      "command": "npx",
      "args": [
        "-y",
        "korean-vocational-learning-map-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-15 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-13 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-12 (score 72, +26)

- [security improvement] Known CVEs: unverified → pass
- [security improvement] Malware scan: unverified → pass
- [functional regression] Security disclosure: unverified → fail
- [functional improvement] Dependency health: unverified → 0.85

### 2026-08-11 (score 46, −20)

- [security regression] Malware scan: pass → unverified
- [security regression] Known CVEs: pass → unverified
- [security] Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.
- [functional regression] Schema quality: 100 → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional regression] Dependency health: 0.85 → unverified
- [functional regression] Capabilities: pass → unverified
- [functional regression] Security disclosure: fail → unverified
- [functional improvement] Stability: unverified → 0.07
- [functional] Schema quality: poor → excellent
- [functional] Package version: 0.1.0 → 0.3.0
- [functional] Package version: 0.1.0 → 0.2.0
- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-08-09 (score 66)

First indexed and scored.

## MCP tools (10)

### `list_major_fields` (~49 tokens)

전문교과 계열 목록

17개 계열 + 전문공통의 개요(과목 수·성취기준 수·근거 별책)를 반환한다. 전 계열이 수록되어 있다.

### `list_curricula` (~68 tokens)

과목 목록

필터가 없으면 계열 단위 요약을 반환한다. majorField를 주면 그 계열의 과목 목록을 반환한다.

Input parameters:

- `majorField` (string): 계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)

### `search_standards` (~127 tokens)

성취기준 검색

성취기준을 코드·키워드·필터로 검색해 요약 목록을 반환한다. 상세는 get_standard로 조회한다.

Input parameters:

- `domain` (string): 영역명
- `limit` (integer): 최대 결과 수 (기본 20)
- `majorField` (string): 계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
- `query` (string): 키워드 또는 코드 (예: 회로, 간기 01-01)
- `subject` (string): 과목명

### `search_standard_text` (~113 tokens)

성취기준 원문 검색

성취기준 공식 원문 전문에서 키워드를 검색해 코드와 스니펫을 반환한다. 상세 원문은 get_standard의 officialText.

Input parameters:

- `limit` (integer): 최대 결과 수 (기본 20)
- `majorField` (string): 계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
- `query` (string, required): 원문에서 찾을 키워드
- `subject` (string): 과목명 필터

### `get_standard` (~131 tokens)

성취기준 상세

성취기준 코드([간기 01-01] — 공백 유무 무관)로 전체 레코드, 공식 원문, 연결 주제, 코드 구조 해석을 조회한다. 일부 코드는 여러 과목·계열이 공유할 수 있어 subject·majorField로 구분한다.

Input parameters:

- `code` (string, required): 성취기준 코드
- `majorField` (string): 계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
- `subject` (string): 과목명 (공유 코드 구분용)

### `search_topics` (~138 tokens)

학습 주제 검색

세부 학습 주제를 키워드·필터로 검색한다. 주제는 상류 기계 파생물(candidate)이다. 상세는 get_topic.

Input parameters:

- `facetKey` (string): 주제 관점 키
- `limit` (integer): 최대 결과 수 (기본 20)
- `majorField` (string): 계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
- `query` (string): 키워드
- `standardCode` (string): 이 성취기준에 연결된 주제만
- `subject` (string): 과목명

### `get_topic` (~59 tokens)

학습 주제 상세

주제 ID로 전체 레코드를 조회한다. 설명·증거·발문은 상류 기계 파생물(candidate)이다.

Input parameters:

- `topicId` (string, required): 주제 ID (예: kr.topic.2022.high.…)

### `get_prerequisites` (~116 tokens)

선수관계 조회

주제의 선수(prerequisites)/후속(unlocks) 관계를 조회한다. 전문교과는 공식 선수관계가 희소해 빈 결과가 정상일 수 있다. depth=all이면 전이 경로를 위상 순서로 반환한다.

Input parameters:

- `depth` (number|string): 1(직접) 또는 all(전이)
- `direction` (string): 기본 prerequisites
- `strength` (string): 관계 강도 필터
- `topicId` (string, required): 주제 ID

### `get_learning_roadmap` (~100 tokens)

학습 로드맵 요약

과목의 성취기준을 영역→클러스터 계층으로 집계한 로드맵을 반환한다. 기존 데이터의 집계이며 새 순서를 만들지 않는다.

Input parameters:

- `domain` (string): 영역명 필터
- `majorField` (string): 계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
- `subject` (string, required): 과목명

### `list_clusters` (~110 tokens)

클러스터 조회

학습 클러스터(단원 묶음) 목록을 조회한다. clusterId를 주면 단건 전체 레코드를 반환한다.

Input parameters:

- `clusterId` (string): 클러스터 ID (단건 상세)
- `limit` (integer): 최대 결과 수 (기본 20)
- `majorField` (string): 계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
- `subject` (string): 과목명 필터

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/raphysicst-create-korean-vocational-learning-map-mcp/korean-vocational-learning-map-mcp#diagnostics

## Score history

- 2026-08-15: 74
- 2026-08-14: 73
- 2026-08-13: 73
- 2026-08-12: 72
- 2026-08-11: 46
- 2026-08-10: 66
- 2026-08-09: 66

## Links

- npm package: https://www.npmjs.com/package/korean-vocational-learning-map-mcp
- Socket report: https://socket.dev/npm/package/korean-vocational-learning-map-mcp
- Repository: https://github.com/raphysicst-create/korean-vocational-learning-map-mcp
- Changelog RSS feed: https://verifymcp.io/servers/raphysicst-create-korean-vocational-learning-map-mcp/korean-vocational-learning-map-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/raphysicst-create-korean-vocational-learning-map-mcp/korean-vocational-learning-map-mcp.json
- HTML version of this page: https://verifymcp.io/servers/raphysicst-create-korean-vocational-learning-map-mcp/korean-vocational-learning-map-mcp