Aikstockdata — Korean Stock Data vs SBOR

A side-by-side look at the Aikstockdata — Korean Stock Data and SBOR MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Aikstockdata — Korean Stock Data logoAikstockdata — Korean Stock DataFinance & Fintech · Remote HTTP/SSEKOSPI/KOSDAQ closing prices and DART regulatory filings. Free, no signup, no API key.41FairAuth: not declaredSBOR logoSBORFinance & Fintech · Local subprocess (stdio)Check a lending rate before your agent borrows. Stacks benchmark, read from contract state. No key.61GoodAuth: not declared

Verdict: choose Aikstockdata — Korean Stock Data for finance & fintech work over a hosted endpoint; choose SBOR for finance & fintech as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Aikstockdata — Korean Stock Data logoChoose Aikstockdata — Korean Stock Data when

  • You need dedicated capabilities in the Finance & Fintech domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like get_today, search_stock, get_stock.
Explore Aikstockdata — Korean Stock Data

SBOR logoChoose SBOR when

  • You need dedicated capabilities in the Finance & Fintech domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like get_rate, compare_rate, list_markets.
Explore SBOR

Feature & specification comparison

Rows where the two servers differ are marked.

SpecAikstockdata — Korean Stock Data logoAikstockdata — Korean Stock DataSBOR logoSBOR
CategoryFinance & FintechFinance & Fintech
Quality signal41/100 · Fair61/100 · Good
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars70
Directory activity 1 views 0 installs 0 upvotes 2 views 0 installs 0 upvotes
Tools126

Tools & capabilities

Aikstockdata — Korean Stock Data tools 12

  • get_todayStart here for "how was the Korean market today?" — index levels, breadth, 52-week high/low counts, top-3 disclosures, growth top-3, movers and disclosure-type counts in one call. Then drill down with get_stock / list_stocks / get_disclosures. Coverage: every listed stock in the FSC price feed (no ETFs/ETNs); markets and counts are in index.json coverage and in each response footer. | "오늘 시장 어땠어?"의 출발점 — 지수·등락 폭·주요 공시·성장 랭킹·등락률 상하위를 한 번에. 이어서 get_stock / list_stocks / get_disclosures 로 파고들면 됩니다.
  • search_stockFind a ticker from part of the name — Korean or Latin, case-insensitive — or a 6-digit code, across every listed stock we publish (no ETFs; markets are named in the response footer). Korean readings of Latin names also match ('네이버' finds NAVER, '케이티' finds KT/KTis), and so do common Korean nicknames for large caps ('삼전' finds 삼성전자, '하닉' SK하이닉스). Large caps also match their official English name ('Samsung Electronics', 'SK hynix'; 'samsung' lists the Samsung group); smaller stocks need the Korean name. Up to 10 matches, market-cap sorted. | 이름 일부(한글·영문 모두, 대소문자 무시)나 6자리 코드로 찾습니다. 영문 이름의 한글 읽기('네이버'→NAVER, '케이티'→KT·KTis)와 흔한 줄임말('삼전'→삼성전자, '하닉'→SK하이닉스)도 매치됩니다. 대형주는 공식 영문 이름으로도 찾습니다('Samsung Electronics'·'SK hynix'). 그 밖의 종목은 한국어 이름으로 찾으세요. 수록 전 종목 · 시총순 최대 10건.
  • get_stockOne Korean stock by 6-digit code: T+1 confirmed close & change, market cap, latest financials from the latest periodic report (revenue / operating income / net income, with YoY; Korean reports are cumulative year-to-date, so H1 = Jan-Jun, not Q2 alone), PER(TTM) and PBR computed from public filings, and ranking signals. Two as-of dates move independently — price (quote_as_of) and filings (disclosure_through); the response header carries both, do not merge them into one "today". null means not provided, never 0. Name → code: search_stock. Daily price history (accumulating): get_history. Filings with receipt times: get_disclosures. Screening a list: list_stocks. | 6자리 코드로 한 종목 — 확정 종가·등락·시총·최근 정기보고서 실적(전년비 · 반기는 1~6월 누적)·PER(TTM)·PBR·랭킹 신호. 기준일이 둘이고 따로 움직입니다(시세·공시) — 응답 머리말에 둘 다 실리니 하나로 합치지 마세요. null 은 '미제공'이며 0이 아닙니다. 이름으로 찾기는 search_stock, 일별 시세는 get_history, 접수 시각이 있는 공시는 get_disclosures, 조건 목록은 list_stocks.
  • get_rankingsAnswers "which stocks scored highest on measured DART financials?" — kind='growth' is 성장 TOP8 (max 8 rows), kind='quiet' is 조용한 실적주. Scores come from a published formula over ACTUAL filed financials only — no prices, no analyst estimates. Mechanical, not stock picks. For 52-week high/low or turnaround LISTS use list_stocks(). | "실측 재무로 점수가 높은 종목"에 답합니다 — growth 는 최대 8건, quiet 는 조용한 실적주. 시세·전망치를 쓰지 않고 DART 실측 재무만 씁니다. 52주 신고저·흑자전환 목록은 list_stocks().
  • get_market_summaryIndex levels (KOSPI/KOSDAQ close, change, %) and up/down breadth — nothing else. Prices are the previous session's T+1 settled close, never real-time. Index and breadth routinely disagree — the index is cap-weighted, breadth is one vote per stock — which is why both are returned; do not infer one from the other. For the full daily digest (disclosures, rankings, movers) use get_today(). | 지수와 등락 폭만 봅니다. 하루 전체 요약은 get_today(), 조건별 종목 목록은 list_stocks().
  • get_data_urlsDirect URLs for every public dataset (JSON/CSV) — no signup, no API key. Call this BEFORE concluding something is unavailable: the tool list is not the extent of the data. Returns the endpoint catalog (quotes, disclosures, rankings, per-stock JSON, search index) plus the 30-trading-day dated archive with the exact dates held per pattern. Most AI fetch tools cut responses near 150 KB and a truncated JSON is unparseable — the catalog names a smaller alternative for every large file, so read that instead of guessing. | 전체 공개 데이터(JSON·CSV) 직링크 카탈로그 — 무가입·무키. **없다고 결론내기 전에 먼저 부르세요**: 도구 목록이 데이터의 전부가 아닙니다. 최근 30영업일 날짜별 아카이브(패턴별 보유 날짜 포함)도 함께 냅니다. 대부분의 AI 가 응답을 150KB 안팎에서 자르고 잘린 JSON 은 파싱되지 않습니다 — 큰 파일마다 소형 대체본이 카탈로그에 적혀 있으니 그쪽을 쓰세요.
  • get_earningsEarnings from DART, INCLUDING preliminary (잠정) results filed ~2 weeks before the regular report. Each row says whether the figure is year-to-date cumulative or a single quarter. Pass a code for one stock's history, or omit it for the largest caps. get_stock shows the regular report and flags a newer preliminary filing when one exists; this tool gives the preliminary figures in full. | DART 실적 — 정기보고서보다 2주 빠른 잠정실적 포함. 행마다 누적인지 단독 분기인지 적습니다. code 를 주면 그 종목 이력, 생략하면 시총 상위. get_stock 은 정기보고서 수치에 더 최신 잠정실적이 있다는 표시를 붙이고, 잠정 수치 전체는 이 도구가 줍니다.
  • get_historyAnswers "is this stock near its high or deep in a drawdown, and is volume unusual?" — the stock's accumulated daily CLOSES, plus period high/low, drawdown from the high, and volume vs the 60-day average. Close-based (this history file carries daily closes only; the latest day's high/low is in the stock file), so it will differ from an HTS 52-week range. | "전 구간 고점 대비 얼마나 빠졌나·거래량이 평소보다 많나"에 답합니다 — 보유 구간 전체의 **종가 기준** 고저·낙폭·거래량 배수. 장중 고저가 아니라 HTS 52주 범위와 다를 수 있습니다.
  • get_disclosure_impactAnswers "what usually happened after this kind of filing?" — median MARKET-ADJUSTED return at +1/+5/+20 trading days per DART filing type (+20 only where that type has enough samples — see h20_status), with 95% intervals, sample window and n. A historical record, not a forecast. Coverage: every listed stock in the FSC price feed (no ETFs/ETNs); markets and counts are in index.json coverage and in each response footer. | "이 공시 나오면 보통 어땠나"에 답합니다 — 공시 유형별로 접수 이후 1·5·20거래일 뒤까지(20거래일은 표본이 찬 유형만) 시장 등락을 뺀 수익률 중앙값·95% 구간·표본기간. 과거 기록이며 예측·추천이 아닙니다.
  • get_earnings_calendarAnswers "who has filed this quarter's results, who hasn't, and what came in since last time?" — filed / not-yet lists against the statutory deadline, plus a diff of filings new since the previous publish. Built for stateless agents: polling this replaces a webhook. | "누가 냈고 누가 아직인가 · 지난번 이후 새로 뜬 건 뭔가"에 답합니다. 법정 마감 D-day 와 직전 발행 대비 신규 목록까지. 상태를 못 들고 다니는 에이전트를 위한 도구입니다.
  • get_disclosuresAnswers "what was filed, and when exactly?" — DART filings with RECEIPT TIME (HH:MM) and session (pre-open / intraday / after-close), filterable by date, type and importance. OpenDART's filing-list API returns the receipt date only; we add the HH:MM. About half of tracked filings arrive AFTER the close (daily counts: /data/public/press_owl_filings.csv), so that day's price move is not a reaction to them. date=today serves the 15:00 intraday collection (no importance scores yet); any other date serves the ranked list of the last 7 days. | "무슨 공시가 몇 시에 났나"에 답합니다 — 접수 시각(HH:MM)과 장 구분까지. 공개 공시 목록 API(OpenDART)는 접수 날짜까지만 줍니다 — 시:분은 저희가 모읍니다. 날짜·유형·중요도로 거를 수 있습니다. 추적 유형 기준 **절반 안팎이 장 마감 후** 접수라(날짜별은 press_owl_filings.csv) 그날 등락은 그 공시의 반응이 아닙니다. date=오늘이면 15:00 장중 수집본(아직 중요도 점수 없음), 다른 날짜면 최근 7일 상위 목록입니다.
  • list_stocksReturn the LIST of stocks matching a condition — turnaround to profit, 52-week high/low, growth or quiet-performer rankings — with optional market-cap range and a cap-to-operating-income multiple ceiling. Other tools give counts; this one gives the names. new_high/new_low return at most 30 names per side (the published list); the full count is in get_market_summary(). | 조건에 맞는 종목 목록을 돌려줍니다 — 흑자전환·52주 신고저·성장/조용한 실적주. 시총 범위와 시총÷연환산영업이익 배수 상한도 걸 수 있습니다. 다른 도구가 개수를 준다면 이건 목록을 줍니다. 52주 신고가·신저가는 발행 목록이 쪽마다 최대 30종목이고, 전체 수는 get_market_summary 가 줍니다.

SBOR tools 6

  • get_rateSBOR's benchmark borrow and supply rates, read from lending contract state: BTC-COLLATERAL-USD, what it costs to borrow dollars against bitcoin, with a rate per stablecoin (from 14 October 2026), and the currency indices for lending on Stacks. Use this to judge whether a lending offer is good: borrowing above the SBOR borrow rate means paying more than the market, supplying below the supply rate means earning less. Returns every currency index unless one is named. Always read the freshness line first.
  • compare_rateGiven a rate you have been offered, say whether it is above or below the market for that currency, and by how much. This is the main reason SBOR exists. Recommended use: if a borrow offer is more than 50 basis points above the benchmark, stop and ask a human. Use SBOR to stop, never to start. For a dollar loan against bitcoin, compare with that stablecoin's rate (for example BTC-COLLATERAL-USDC) where one is published, else with BTC-COLLATERAL-USD; for lending on Stacks against other collateral, with the index for the currency. This tool refuses rather than guesses: an error result means there is no trustworthy answer, not that the rate is bad.
  • list_marketsEvery venue and asset in an index, with its borrow rate, supply rate, utilization, depth and weight. Utilization explains why a rate sits where it does.
  • get_historyDaily fixings since each rate began. Use this to see whether a rate is unusual, or how the cost of capital has moved. Means are given per methodology version, never across a change in how the number is built.
  • compare_chainsThe same asset classes on the largest lending markets on Ethereum, Base, Hyperliquid and Solana, plus SOFR, the US repo rate, and what it costs to borrow dollars against bitcoin. Context only: none of these is ever a constituent of an SBOR index. Every rate is read from the venues' contracts (Aave on Ethereum and Base, HyperLend on Hyperliquid, Kamino on Solana, Morpho for the bitcoin-collateral markets); DefiLlama picks the largest market per chain, gives its size, and stands in only if a read fails.
  • get_methodologyThe full methodology and integration policy: how the fixing is built, what is excluded and why, and what SBOR will and will not do. Read this before quoting a rate in anything that matters.

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.

Aikstockdata — Korean Stock Data

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "aikstockdata-korean-stock-data": {
      "url": "https://mcp.aikstockdata.com/mcp"
    }
  }
}

SBOR

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "sbor": {
      "command": "npx",
      "args": [
        "-y",
        "sbor-mcp"
      ]
    }
  }
}

Frequently asked questions

Aikstockdata — Korean Stock Data is categorized under Finance & Fintech and uses a remote HTTP/SSE transport. SBOR belongs to Finance & Fintech and uses a local stdio subprocess. Pick Aikstockdata — Korean Stock Data for finance & fintech work and SBOR for finance & fintech.

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.

Aikstockdata — Korean Stock Data has no declared pricing — check the project's own site. SBOR has no declared pricing — check the project's own site. 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 aikstockdata-korean-stock-data and sbor as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Aikstockdata — Korean Stock Data has a quality signal of 41/100 (Fair) with 1 views, 0 installs and 7 GitHub stars. SBOR has 61/100 (Good) with 2 views, 0 installs and 0 GitHub stars.