EngrAmo vs Korean Secondary Learning Map MCP
A side-by-side look at the EngrAmo and Korean Secondary Learning Map MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose EngrAmo for education work over a hosted endpoint; choose Korean Secondary Learning Map MCP for education as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose EngrAmo when
- You need dedicated capabilities in the Education domain.
- You prefer a remote HTTP/SSE transport.
- You have the keys it needs:
ENGRAMO_API_URL, ENGRAMO_API_TOKEN. - You want tools like
activate_learning_path, add_card_to_learning, add_catalog_to_learning.
Choose Korean Secondary Learning Map MCP when
- You need dedicated capabilities in the Education domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
list_curricula, search_standards, get_standard.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Education | Education |
| Quality signal | 72/100 · Great | 64/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | ENGRAMO_API_URLENGRAMO_API_TOKEN | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | 19 |
| Directory activity | 1 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | 29 | 11 |
| Full listing | View EngrAmo | View Korean Secondary Learning Map MCP |
Tools & capabilities
EngrAmo tools 29
activate_learning_pathActivate a learning path so its catalogs are included in daily reviews.add_card_to_learningAdd a single card to the learning queue. It will appear in due reviews. A card_id that doesn't exist is reported as "Not found"; one that belongs to another user is reported as a permission error (the API may also report a missing id that way).add_catalog_to_learningAdd all cards in a catalog to the learning queue at once.add_catalog_to_learning_pathAdd a catalog to a learning path so its cards become part of the path. Idempotent: adding a catalog that is already in the path succeeds (no error). A missing path or catalog returns Not found.create_learning_pathCreate a new learning path. It starts empty — use add_catalog_to_learning_path (or pass `catalog_ids` here) to populate it with catalogs. Passing `catalog_ids` adds each one in its own request right after the path is created (non-atomic): the path is never rolled back if a catalog fails to add, and the response then includes `catalogs_added`/`catalogs_failed` so failed ids can be retried.deactivate_learning_pathDeactivate a learning path so its catalogs are excluded from daily reviews.delete_cardDelete a flashcard from a catalog. If the card has learning progress it is archived (it stays in get_due_cards/get_all_learning_cards and remains reviewable, but get_card/update_card then report it as Not found); otherwise hard-deleted. A card_id that doesn't exist, or a catalog_id the card is not in, is reported as "Not found" and nothing is deleted; a card that belongs to another user is reported as a permission error (the API may also report a missing id that way).delete_catalogDelete a catalog. It is archived (not hard-deleted) if it has cards, a cover image, or is in an active learning path; otherwise it is hard-deleted. There is no restore/unarchive tool. Cards also in another live catalog are unaffected (they only lose this membership); cards only in this catalog stay reachable by id via get_card (showing `catalogs: []`) only until backend cleanup archives them; they disappear from search and list_cards immediately, and once archived get_card/update_card report them as Not found (cards with learning progress still appear in get_due_cards). To keep them, move them to another catalog with update_card (catalog_ids) BEFORE deleting. Catalog quota decrements automatically.generate_cardCreate a single styled flashcard. Pass catalog_id to add to an existing catalog; omit for the default catalog. For language-learning cards: translate face.text yourself and set back.text before calling; build a word-level dictionary (word → translation map) yourself and set face.dictionary. rich_text spans (IMPORTANT rules): ALWAYS set face.text and back.text to the full plain sentence — it is the ground truth. Each span's text must be a VERBATIM continuous segment of the original text — never add separator characters, markers, or ANY characters not present in the original sentence. Spans must partition face.text with no gaps; their concatenation must equal face.text exactly. The server validates this and discards richText if spans disagree with text. Styling goes under a nested `style` object on the span, never as flat fields, e.g. {"text":"gracias.","style":{"bold":true,"fontColor":"#27AE60"}}. Use fontFamily='monospace' for code, bold=true for key terms, fontColor='#E74C3C' for warnings, '#27AE60' for correct answers. If no styling needed, omit rich_text entirely and just set text.generate_cardsAdd multiple flashcards to an EXISTING catalog in one batch. Use this instead of calling generate_card N times. WARNING: cards are created one at a time — if one fails, previously created cards in this batch are NOT rolled back. Use generate_catalog_with_cards for atomic creation. For language-learning cards: translate each face.text yourself and set back.text; build a word-level dictionary (word → translation map) yourself and set face.dictionary on each card. rich_text spans (IMPORTANT rules): ALWAYS set face.text and back.text to the full plain sentence — it is the ground truth. Each span's text must be a VERBATIM continuous segment of the original text — never add separator characters, markers, or ANY characters not present in the original sentence. Spans must partition face.text with no gaps; their concatenation must equal face.text exactly. The server validates this and discards richText if spans disagree with text. Styling goes under a nested `style` object on the span, e.g. {"text":"gracias.","style":{"bold":true,"fontColor":"#27AE60"}}. At most 200 cards per call; split larger sets into several calls.generate_catalog_with_cardsCreate a new catalog together with all its flashcards in one atomic call. More efficient than creating cards one by one. For language-learning cards: translate each face.text yourself and set back.text; build a word-level dictionary (word → translation map) yourself and set face.dictionary on each card. rich_text spans (IMPORTANT rules): ALWAYS set face.text and back.text to the full plain sentence — it is the ground truth. Each span's text must be a VERBATIM continuous segment of the original text — never add separator characters, markers, or ANY characters not present in the original sentence. Spans must partition face.text with no gaps; their concatenation must equal face.text exactly. The server validates this and discards richText if spans disagree with text. Styling goes under a nested `style` object on the span, e.g. {"text":"gracias.","style":{"bold":true,"fontColor":"#27AE60"}}. The returned catalog's cardCount reflects the cards created in this call. At most 200 cards per call; split larger sets into several calls.get_all_learning_cardsGet all cards currently in the learning queue (due and future), with pagination. Returns at most 50 items per call; pass the returned `cursor` back to fetch the next page (`cursor: null` means this is the last page). A returned card may be archived (deleted after learning started): it stays reviewable here, but get_card/update_card report it as Not found.- +17 more on the listing page
Korean Secondary Learning Map MCP tools 11
list_curricula필터가 없으면 학교급·교과군 요약을 반환한다. schoolLevel 또는 subjectGroup을 주면 해당 과목 목록을 반환한다.search_standards성취기준을 코드·키워드·필터로 검색해 요약 목록을 반환한다. 상세는 get_standard로 조회한다.get_standard성취기준 코드([9과01-01] 또는 9과01-01)로 전체 레코드, 공식 원문, 연결된 주제 목록을 조회한다. 일부 코드는 두 과목이 공유하므로 subject로 구분한다.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.get_learning_roadmap과목의 성취기준을 영역→클러스터 계층으로 집계한 학습 로드맵을 반환한다. 기존 데이터의 집계이며 새로운 순서를 생성하지 않는다.list_clusters학습 클러스터 목록을 조회한다. clusterId를 주면 단건 전체 레코드, 없으면 요약 목록을 반환한다. 목록은 limit·offset으로 페이지를 넘긴다.get_transitions주제 ID 또는 성취기준 코드로 중학교→고등학교 학습 전이(심화 연계)를 양방향 조회한다. 근거 문서·쪽수를 포함한다.get_course_pathway과목명으로 고등학교 과목 간 권장 선후 관계(예: 영어Ⅰ→영어Ⅱ)를 조회한다. 공식 이수 제약이 아닌 학습 흐름 권장이다.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
EngrAmo
{
"mcpServers": {
"engramo": {
"command": "npx",
"args": [
"-y",
"@engramo/mcp"
],
"env": {
"ENGRAMO_API_URL": "YOUR_ENGRAMO_API_URL_HERE",
"ENGRAMO_API_TOKEN": "YOUR_ENGRAMO_API_TOKEN_HERE"
}
}
}
}
Korean Secondary Learning Map MCP
{
"mcpServers": {
"korean-secondary-learning-map-mcp": {
"command": "npx",
"args": [
"-y",
"korean-secondary-learning-map-mcp"
]
}
}
}
Frequently asked questions
EngrAmo is categorized under Education and uses a remote HTTP/SSE transport. Korean Secondary Learning Map MCP belongs to Education and uses a local stdio subprocess. Pick EngrAmo for education work and Korean Secondary Learning Map MCP for education.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
EngrAmo has no declared pricing — check the project's own site. Korean Secondary Learning Map MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add engramo and korean-secondary-learning-map-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, EngrAmo has a quality signal of 72/100 (Great) with 1 views, 0 installs and 2 GitHub stars. Korean Secondary Learning Map MCP has 64/100 (Good) with 4 views, 0 installs and 19 GitHub stars.