MCP server

aikstockdata — Korean Stock Data Official

com.aikstockdata/mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Korean stocks: median price path after each DART filing type, T+1 closes, earnings. 12 tools, no key

Website Source

At a glance

Type

MCP server

Publisher

aikstockdata.com (verified by the MCP Registry)

Status

Working at last check

Tools

12

Token cost

About 3,282 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http aikstockdata https://mcp.aikstockdata.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.aikstockdata]
url = "https://mcp.aikstockdata.com/mcp"

Gemini CLI

{"mcpServers":{"aikstockdata":{"httpUrl":"https://mcp.aikstockdata.com/mcp"}}}

Cursor

{"mcpServers":{"aikstockdata":{"url":"https://mcp.aikstockdata.com/mcp"}}}

VS Code

{"servers":{"aikstockdata":{"type":"http","url":"https://mcp.aikstockdata.com/mcp"}}}

Antigravity

agy mcp add aikstockdata https://mcp.aikstockdata.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"aikstockdata","server_url":"https://mcp.aikstockdata.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"aikstockdata","server_url":"https://mcp.aikstockdata.com/mcp"}

Tools

• get_data_urls ~236 tokens
  Direct 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
• get_disclosure_impact ~210 tokens
  Answers "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 list
• get_disclosures ~465 tokens
  Answers "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 cl
• get_earnings ~226 tokens
  Earnings 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
• get_earnings_calendar ~184 tokens
  Answers "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 뭔
• get_history ~244 tokens
  Answers "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 st
• get_market_summary ~157 tokens
  Index 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 fr
• get_rankings ~224 tokens
  Answers "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 turnarou
• get_stock ~400 tokens
  One 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,
• get_today ~169 tokens
  Start 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 E
• list_stocks ~483 tokens
  Return 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
• search_stock ~284 tokens
  Find 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

Browse

• Spreadsheets
• Stocks and markets

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