io.github.raphysicst-create/korean-vocational-learning-map-mcp

NPM · KOREAN-VOCATIONAL-LEARNING-MAP-MCP · SCANNED AUG 15

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

Available components

npm · korean-vocational-learning-map-mcp 74

74 74 Trust /100

Trust breakdown (6 categories)

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. How we score →

Supply Chain Security98

No malware found by supply-chain analysis.Pass
No known CVEs affecting this package version or its production dependencies.Pass
No install/post-install scripts declared.Pass
30 of 96 dependencies flagged as unhealthy. View diagnostics → Partial

Provenance & Transparency45

Source repository is publicly reachable at the declared URL. View diagnostics → Pass
Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
Clear OSI-approved license (MIT).Pass
Actively maintained (last published 3 days ago).Pass
Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail

Schema Quality & AI Usability86

100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
AI-judged instruction clarity (excellent).Pass
Tool/resource definitions use about 1034 tokens (~94/item across 11 items; 10 tools + 1 resources), lean.Pass
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management20

Stability observed for 6 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · korean-vocational-learning-map-mcp

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

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

# add to Codex CLI

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
    }
  }
}

# add to OpenClaw

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

# ~/.hermes/config.yaml

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

// mcp.json

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

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

15 Aug 26 +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.
13 Aug 26 +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.
12 Aug 26 +26
- Known CVEs: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- Security disclosure: unverified → fail ▼ functional
- Dependency health: unverified → 0.85 ▲ functional
11 Aug 26 −20
- Malware scan: pass → unverified ▼ security
- 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. security
- Schema quality: 100 → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Dependency health: 0.85 → unverified ▼ functional
- Capabilities: pass → unverified ▼ functional
- Security disclosure: fail → unverified ▼ functional
- 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 See what changed → functional
9 Aug 26 66

First indexed and scored.

Show 2 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 15 Aug 2026 · Analysed npm/korean-vocational-learning-map-mcp@0.3.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result	No attestation
Ecosystem	npm

Dependencies 96 packages

Packages resolved	96
Stale	30
Tree resolution	Complete

MCP tools · 10 exposed · ~1,011 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

get_learning_roadmap 학습 로드맵 요약 ~100

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

Input Output Examples

Name	Type	Req	Description
domain	string	–	영역명 필터
majorField	string	–	계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
subject	string	yes	과목명

No output schema declared.

No examples provided.

get_prerequisites 선수관계 조회 ~116

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

Input Output Examples

Name	Type	Req	Description
depth	number\|string	–	1(직접) 또는 all(전이)
direction	string	–	기본 prerequisites
strength	string	–	관계 강도 필터
topicId	string	yes	주제 ID

No output schema declared.

No examples provided.

get_standard 성취기준 상세 ~131

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 Output Examples

Name	Type	Req	Description
code	string	yes	성취기준 코드
majorField	string	–	계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
subject	string	–	과목명 (공유 코드 구분용)

No output schema declared.

No examples provided.

get_topic 학습 주제 상세 ~59

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

Input Output Examples

Name	Type	Req	Description
topicId	string	yes	주제 ID (예: kr.topic.2022.high.…)

No output schema declared.

No examples provided.

list_clusters 클러스터 조회 ~110

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

Input Output Examples

Name	Type	Req	Description
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

No output schema declared.

No examples provided.

list_curricula 과목 목록 ~68

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

Input Output Examples

Name	Type	Req	Description
majorField	string	–	계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)

No output schema declared.

No examples provided.

list_major_fields 전문교과 계열 목록 ~49

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

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

search_standard_text 성취기준 원문 검색 ~113

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

Input Output Examples

Name	Type	Req	Description
limit	integer	–	최대 결과 수 (기본 20)
majorField	string	–	계열 슬러그 또는 계열명 (예: electrical-electronics, 전기·전자)
query	string	yes	원문에서 찾을 키워드
subject	string	–	과목명 필터

No output schema declared.

No examples provided.

search_standards 성취기준 검색 ~127

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

Input Output Examples

Name	Type	Req	Description
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

No output schema declared.

No examples provided.

search_topics 학습 주제 검색 ~138

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

Input Output Examples

Name	Type	Req	Description
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

No output schema declared.

No examples provided.

On this page

Handy links

Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

9 Aug 15 Aug