korean-vocational-learning-map-mcp (raphysicst-create/korean-vocational-learning-map-mcp) is an MCP server listed on the M8ven Trust Index. It scores 62 out of 100, grade C. It declares 10 tools. No publisher has claimed this listing.
MCP server providing a local learning graph for the Korean vocational high school curriculum (2022 revised), including 8,425 achievement standards, topics, and 10 tools for searching standards, topics, prerequisites, and learning roadmaps.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
list_major_fields17개 계열 + 전문공통의 개요(과목 수·성취기준 수·수록 여부·근거 별책)를 반환한다.
list_curricula필터가 없으면 계열 단위 요약을 반환한다. majorField를 주면 그 계열의 과목 목록을 반환한다.
search_standards성취기준을 코드·키워드·필터로 검색해 요약 목록을 반환한다. 상세는 get_standard로 조회한다.
search_standard_text성취기준 공식 원문 전문에서 키워드를 검색해 코드와 스니펫을 반환한다. 상세 원문은 get_standard의 officialText.
get_standard성취기준 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.
search_topics세부 학습 주제를 키워드·필터로 검색한다. 주제는 상류 기계 파생물(candidate)이다. 상세는 get_topic.
get_topic주제 ID로 전체 레코드를 조회한다. 설명·증거·발문은 상류 기계 파생물(candidate)이다.
get_prerequisites주제의 선수(prerequisites)/후속(unlocks) 관계를 조회한다. 전문교과는 공식 선수관계가 희소해 빈 결과가 정상일 수 있다. depth=all이면 전이 경로를 위상 순서로 반환한다.
get_learning_roadmap과목의 성취기준을 영역→클러스터 계층으로 집계한 로드맵을 반환한다. 기존 데이터의 집계이며 새 순서를 만들지 않는다.
list_clusters학습 클러스터(단원 묶음) 목록을 조회한다. clusterId를 주면 단건 전체 레코드를 반환한다.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
PDF_DIRTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
10/10 tools missing one or more hints — list_major_fields (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_curricula (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_standards (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +7 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
Shell command execution
3 child_process/subprocess calls in production code — runs shell commands (pipeline/extract-texts.mjs:114, pipeline/extract-texts.mjs:147, pipeline/extract-texts.mjs:228)
Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.
Production dependencies are patched
0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.12.0 (high), @modelcontextprotocol/sdk@1.12.0 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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