mcpbeat Sign in

Korean Stock Market Data MCP Server

answering

Korean Stock Market Data is answering right now. Last checked 11 min ago. It exposes 7 tools. Last commit 9 Mar 2026.

Korean stock market data - prices, dividends, short selling, financial disclosures

Uptime history 91 days of history · worst day 0%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
7
Tools
read from the server
284 ms
Response time
average over 24h
0
Stars
last commit 9 Mar 2026

Korean Stock Market Data missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add korean-stock-mcp --transport http https://korean-stock-mcp.onrender.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://korean-stock-mcp.onrender.com/mcp
~/.codex/config.toml
[mcp_servers.korean-stock-mcp]
url = "https://korean-stock-mcp.onrender.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "korean-stock-mcp": {
      "url": "https://korean-stock-mcp.onrender.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "korean-stock-mcp": {
      "type": "http",
      "url": "https://korean-stock-mcp.onrender.com/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

stock
get_stock_price
한국 주식 시세를 조회합니다. 종목명 또는 종목코드로 검색할 수 있습니다. 데이터는 전일 종가 기준입니다 (당일 실시간 아님). Args: stock_name: 종목명 (예: "삼성전자", "NAVER", "카카오") stock_code: 종목 단축코드 6자리 (예: "005930"). stock_name과 둘 중 하나만 입력. date: 조회일 (YYYY-MM-DD). 빈 문자열이면 최근 영업일. market: 시장 구분 ("KOSPI", "KOSDAQ", "KONEX"). 빈 문자열이면 전체. num_results: 조회 건수 (기본 20, 최대 100) Returns: 종가, 시가, 고가, 저가, 거래량, 등락률, 시가총액 등
search_stock
종목명 키워드로 KRX 상장종목을 검색합니다. Args: keyword: 검색 키워드 (예: "삼성", "바이오", "에너지") market: 시장 구분 ("KOSPI", "KOSDAQ", "KONEX"). 빈 문자열이면 전체. num_results: 조회 건수 (기본 20, 최대 100) Returns: 종목코드, 종목명, 시장구분, 법인명, 법인등록번호
compare
compare_stocks
여러 종목의 시세를 비교합니다. Args: stock_names: 비교할 종목명 (쉼표 구분, 예: "삼성전자,SK하이닉스,NAVER") date: 조회일 (YYYY-MM-DD). 빈 문자열이면 최근 영업일. Returns: 종목별 시세 비교 (종가, 등락률, 거래량, 시가총액)
dividend
get_dividend_info
주식 배당 정보를 조회합니다. Args: company_name: 회사명 (예: "삼성전자", "SK하이닉스") year: 결산년도 (예: "2025"). 빈 문자열이면 최근. num_results: 조회 건수 (기본 20, 최대 100) Returns: 배당률, 배당금, 배당기준일, 배당지급일
market
get_market_index
KOSPI, KOSDAQ 등 주요 시장 지수를 조회합니다. Args: index_name: 지수명 (예: "코스피", "코스닥"). 빈 문자열이면 주요 지수 전체. date: 조회일 (YYYY-MM-DD). 빈 문자열이면 최근 영업일. num_results: 조회 건수 (기본 20, 최대 100) Returns: 지수 종가, 등락률, 거래량, 거래대금, 상장시가총액
popular
get_popular_stocks
주요 인기 종목의 코드 목록을 조회합니다. 종목 코드를 모를 때 참고하세요. Returns: 주요 종목명과 6자리 코드 목록
price
get_price_trend
종목의 최근 N일간 주가 추이를 조회합니다. Args: stock_name: 종목명 (예: "삼성전자", "NAVER") stock_code: 종목 단축코드 6자리 (예: "005930"). stock_name과 둘 중 하나. days: 조회 기간 (기본 7일, 최대 30일) Returns: 일별 종가, 등락률, 거래량 추이 및 기간 수익률

Endpoints

URLTransportStateLatencyChecked
https://korean-stock-mcp.onrender.com/mcp streamable-http answering 631 ms 11 min ago

Alternatives to Korean Stock Market Data

same job, measured the same way
Korea Stock Insight MCP
by yjhann33-design

Korean stock market MCP — DART disclosures + KRX prices, English-first for global LLM analysts.

120 installs/wk local only
Finance
by cybeleri

Financial data MCP server: stock quotes, crypto prices, portfolio tracking, market analysis

53 installs/wk local only
BharatStock
by bharatstockapi

Indian stock market data: NSE/BSE prices, financials, NIFTY/SENSEX, mutual funds, screener.

answering
국내 주식·채권 MCP (Korea Stocks & Bonds)
by finquest

Korean stocks & bonds: DART filings, segment trends, earnings drivers, dividends, prices, bonds.

31 tools answering
Pse Edge MCP
by phdwight

Philippine Stock Exchange data via PSE Edge: EOD quotes, price history, disclosures, financials.

167 installs/wk answering
FinBridge
by gronox

Korean company disclosures in English: DART filings, financial statements, segments, 13F.

27 tools answering
Algolab MCP
by algolab

Vietnam stock market data for AI: prices, financials, broker research, macro, VN-Index forecast

12 tools answering
Wisesheets Financial Data
by wisesheets

Financial statements, metrics, dividends, and price data for public companies.

answering

Korean Stock Market Data — questions

Answers built from our own checks of this server.

What can Korean Stock Market Data do?
It exposes 7 tools, read directly from the server on our last check. Among them: compare_stocks, get_dividend_info, get_market_index, get_popular_stocks, get_price_trend, get_stock_price and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Korean Stock Market Data working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 284 ms. The bar chart above shows every period we have measured.
How do I connect Korean Stock Market Data?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Korean Stock Market Data need an API key?
No. Korean Stock Market Data completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Korean Stock Market Data?
It answers our handshake in 284 ms on average, which is faster than 50% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Korean Stock Market Data open source?
We cannot say either way: written in Python and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.