korean-elementary-learning-map-mcp (taehyeonglim/korean-elementary-learning-map-mcp) is an MCP server listed on the M8ven Trust Index. It scores 58 out of 100, grade D. It declares 9 tools. No publisher has claimed this listing.
Provides access to the Korean elementary 2022 revised curriculum learning graph, enabling users to search and retrieve curriculum standards, learning topics, prerequisites, and roadmaps from a fully local database.
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_curricula11개 초등 교과의 ID, 이름, 성취기준 수, 학년군, 영역 목록을 반환한다.
search_standards성취기준을 코드·키워드·필터로 검색해 요약 목록을 반환한다. 상세는 get_standard로 조회한다.
get_standard성취기준 코드([2수01-01] 또는 2수01-01)로 전체 레코드와 연결된 주제 목록을 조회한다.
search_topics세부 학습 주제를 키워드·필터로 검색해 요약 목록을 반환한다. 상세는 get_topic으로 조회한다.
search_standard_text성취기준 공식 원문 전문에서 키워드를 검색해 코드와 매칭 스니펫을 반환한다. 상세 원문은 get_standard의 officialText로 조회한다.
get_topic주제 ID로 관찰 증거·평가 문항·출처를 포함한 전체 레코드를 조회한다.
get_prerequisites주제의 선수(prerequisites) 또는 후속(unlocks) 관계를 조회한다. depth=all이면 전이적 학습 경로를 위상 순서로 반환한다.
list_clusters학습 클러스터 목록을 조회한다. clusterId를 주면 단건 전체 레코드, 없으면 요약 목록을 반환한다.
get_learning_roadmap교과·학년군의 성취기준을 영역→모듈 계층으로 집계한 학습 로드맵을 반환한다. 기존 데이터의 집계이며 새로운 순서를 생성하지 않는다.
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
Tool 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
9/9 tools missing one or more hints — list_curricula (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_standards (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_standard (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 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.
Tool inputs are validated
8/9 tool handlers declare input schemas (89%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 0/9 tool handlers wrap calls in try/catch (0%)
Wrap each tool handler body in try/catch and return a structured error response.
Tests exist
No test files found
Add tests that exercise each declared tool.
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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