MyKIFRS

Full-text search over K-IFRS/K-GAAP standards and KASB accounting Q&A for Korean accountants

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
95%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~3,297Tokens (Tool-Definitionen)
~694 BTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (2.58% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "mykifrs": {
      "url": "https://mykifrs.eocpa.kr/mcp"
    }
  }
}

Remote-Endpunkte

https://mykifrs.eocpa.kr/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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🟢search_standards(query, std_num, limit)

MyKIFRS MCP의 search_standards 도구는 K-IFRS·일반기업회계기준·감사기준서·내부회계관리제도·ESG(KSSB) 기준서 본문을 전문검색합니다. [Purpose] - Find the 기준서 문단 grounding a treatment ("사용권자산 손상 is which 문단?"). - For a hit's 원문·문맥, pass its unique_key to get_paragraph. [Usage] 1. "사용권자산 손상 관련 기준" → query="사용권자산 손상" 2. "1116호 안에서만 리스료 재측정" → query="리스료 재측정", std_num=1116 3. "수익 인식 5단계 문단 30개까지" → query="수익 인식 단계", limit=30 [Response] - { hits, results:[{std_num, std_title, category, unique_key, snippet}] } - unique_key = "{std_num}-{문단번호}" (e.g. "1116-33", "1109-6.1.1", "2-2.7") — feed to get_paragraph. - snippet marks matches with ⟦…⟧ and elides with "…". - Empty query returns { error: "검색어가 비어 있음" }. [Rules] - Tokens of ≥3 chars go to FTS (AND-joined, rank-ordered); 1~2 char tokens become LIKE filters. Short-token-only queries work but are ordered by std_num, not relevance. - Body 문단 only (item_type='paragraph') — 제목 rows are excluded, so a hit is always body text. - snippet is a fragment, never the whole 문단 — do not quote it as 기준서 원문.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "검색 키워드 (공백 구분)"
    },
    "std_num": {
      "description": "특정 기준서로 한정 (예: 1116)",
      "type": "number"
    },
    "limit": {
      "default": 10,
      "description": "최대 결과 수 (기본 10)",
      "type": "number"
    }
  },
  "required": [
    "query"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_qnas(query, limit)

MyKIFRS MCP의 search_qnas 도구는 회계기준원·금융감독원·신속처리질의·IFRS 해석위원회 질의회신 3,669건을 전문검색합니다. [Purpose] - Official 회신 for practice issues the 기준서 text alone cannot settle. - For 회신 tied to a 문단, get_paragraph's related_qnas is more precise. [Usage] 1. "전환사채 콜옵션 회계처리 질의회신" → query="전환사채 콜옵션" 2. "리스료 재측정 회신 30건" → query="리스료 재측정", limit=30 [Response] - { hits, results:[{source, qna_key, doc_number, date, title, rel_stds, org, snippet}] } - source = 수록 세대 ("v2" 현행 / "legacy" 구 QnA), NOT the 회신 기관. - org = 회신 기관: 회계기준원 / 금융감독원 / 신속처리질의 / IFRS 해석위원회 논의결과 ("구 QnA" = unmapped legacy 유형). - rel_stds is raw HTML: <span data-std="1109" data-id="6.1.1"> → unique_key "1109-6.1.1". [Rules] - Tokens ≥3 chars → FTS (AND, rank); 1~2 chars → LIKE. - Never present `source` as the 회신 기관 — use `org`. - Strip HTML in rel_stds; build 문단 키 from data-std/data-id. - qna_key ("{source}:{id}") is get_qna's single-row handle — use it when doc_number is "" or duplicated. legacy 회신 are mostly 2000~2011 (구 기업회계기준) — check `date` before citing.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "검색 키워드 (공백 구분)"
    },
    "limit": {
      "default": 10,
      "description": "최대 결과 수 (기본 10)",
      "type": "number"
    }
  },
  "required": [
    "query"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_paragraph(unique_key, context)

MyKIFRS MCP의 get_paragraph 도구는 기준서 문단 전문을 앞뒤 문맥과 함께 반환합니다. [Purpose] - To quote a found 문단 exactly — a search snippet is never quotable evidence. - To check 조건절·예외 with neighbors. [Usage] 1. "1116호 33문단 원문" → unique_key="1116-33" 2. "앞뒤로 더 넓게" → unique_key="1116-33", context=5 [Response] - { standard:{std_num, title, category}, target, related_qnas:[doc_number], items:[…] } - items[]: { seq, item_type, unique_key, para_num, level, title, ref, content_text }; item_type "paragraph"=본문, "title"=제목. - related_qnas → get_qna. - Miss → { error: "문단 없음: {unique_key}", similar:[{unique_key, para_num}] } (≤5). [Rules] - unique_key = "{기준서번호}-{문단번호}"; 문단 numbers aren't digits-only (B58·6.1.1) — pass verbatim, never normalize. - Keys can carry a "-N" suffix ("1109-B2.7" misses, "1109-B2.7-1" hits — 12% of 문단). On a miss retry a `similar` candidate; never read it as "the 문단 does not exist". - context expands within one part — boundaries return fewer items; not an error. - Quote content_text, never a snippet.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "unique_key": {
      "type": "string",
      "description": "문단 키 (예: '1116-33')"
    },
    "context": {
      "default": 2,
      "description": "앞뒤로 포함할 항목 수 (기본 2)",
      "type": "number"
    }
  },
  "required": [
    "unique_key"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_qna(doc_number, qna_key)

MyKIFRS MCP의 get_qna 도구는 질의회신 전문을 반환합니다. [Purpose] - The 회신 full text for a doc_number (search_qnas, get_paragraph's related_qnas) or a qna_key (search_qnas). [Usage] 1. "2017-001 회신 전문" → doc_number="2017-001" 2. "legacy:6009 전문" → qna_key="legacy:6009" [Response] - { results:[{source, qna_key, doc_number, date, title, rel_stds, full_content, org}] } - Miss → { error: "문서번호 없음: {doc_number}", similar:[{source, qna_key, doc_number, title}] } (≤5 부분일치) or { error: "qna_key 없음: {qna_key}" }. - source / org / rel_stds: same meaning as in search_qnas. [Rules] - results is an array; doc_number is NOT unique ("GKQA03-100" → 2 rows). Never answer from the first row alone — pin one by qna_key. - qna_key = "{source}:{id}" exactly as returned; if both arguments are given, qna_key wins. - 번호 formats differ by series ("2021-G-KQA005" · "GKQA01-085" · "금감원사례-1") — pass the value as received, never alter case or separators. - On a miss, re-ask using `similar` rather than guessing another 번호.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "doc_number": {
      "description": "질의회신 문서번호 — qna_key 를 주지 않을 때 필수",
      "type": "string"
    },
    "qna_key": {
      "description": "행 식별자 \"{source}:{id}\" (search_qnas 의 qna_key, 예: legacy:6009) — 번호가 비었거나 중복일 때",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_standards(category)

MyKIFRS MCP의 list_standards 도구는 수록된 기준서 카탈로그를 반환합니다. [Purpose] - Which 기준서 are in the corpus, and which numbers feed search_standards' std_num filter. [Usage] 1. "수록된 기준서 전부" → (인자 없음) 2. "감사기준서만" → category="audit" 3. "내부회계관리제도 관련" → category="icfr" [Response] - { count, standards:[{std_num, title, category}] } - category values: kifrs(한국채택국제회계기준) · interpretation(해석서) · concept(재무보고를 위한 개념체계) · kgaap(일반기업회계기준) · audit(감사기준서) · icfr(내부회계관리제도) · esg(KSSB 지속가능성 공시기준) · translation(번역본) · special(특수분야). [Rules] - Lists 수집 성공(crawl_status='ok') 기준서 only — an absent 기준서 means "미수집", not "존재하지 않음". - category is a free-form string, not an enum: an unknown value returns count=0, not an error.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "category": {
      "description": "카테고리로 필터 (생략 시 전체)",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_usage_stats(days)

MyKIFRS MCP의 get_usage_stats 도구는 이 MCP 서버의 도구 사용량 통계를 반환합니다. [Purpose] - Per-tool usage·latency (avg/percentiles)·error rate·daily trend. [Usage] 1. "최근 30일 사용량" → (인자 없음) 2. "지난 7일만" → days=7 3. "전체 기간" → days=0 [Response] - Both tiers: { visibility, period:{days, since, until}, overview:{total_calls, unique_users, errors, error_rate, p50_ms, p90_ms, p99_ms}, by_tool:[{tool, calls, errors, error_rate, avg_ms, p99_ms, users}], by_day:[{day, calls}] } - visibility="public" adds `note`; period.days = "all" when days=0. - visibility="operator" adds users:[{user, is_owner, calls, distinct_tools, first_seen, last_seen, tools:[{tool, calls, avg_ms}]}] and top_targets:[{target, tool, calls, users}]. [Rules] - Tier by requester: admin token·local stdio → "operator", else "public". - users·top_targets exist only at operator tier — absence ≠ 0. - `user` is a truncated SHA-256 of the 접속 토큰 — not a person. stdio calls (no hash) never appear. - Timings = server-side handler time (no network).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "days": {
      "default": 30,
      "description": "최근 N일 윈도 (0이면 전체 기간, 기본 30)",
      "type": "number"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Empfohlene Prompts

search_research
Search for information about [topic] using MyKIFRS
Erwartete Tools: search_standards
find_specific
Find [specific item] using MyKIFRS
Erwartete Tools: search_standards
retrieve_data
Get details about [item] from MyKIFRS
Erwartete Tools: get_paragraph
fetch_info
Fetch [information type] using MyKIFRS
Erwartete Tools: get_paragraph
list_items
List all [items] available in MyKIFRS
Erwartete Tools: list_standards

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