chrisryugj

chrisryugj / korean-dart-mcp

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OpenDART 전자공시MCP | 83개 API → 15 MCP 도구. 공시·재무·지분·XBRL + 버핏급 애널리스트 프레임(내부자 시그널·회계 리스크·퀄리티 체크리스트) + HWP/PDF 첨부 마크다운화 | 83 Korean DART disclosure APIs → 15 MCP tools with Buffett-grade analyst frames

www.npmjs.compackagekorean-dart-mcp claude cli dart disclosure finance
17
0
69% credibility
Found Apr 18, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This repository creates simplified tools for AI assistants to access and analyze Korean public company disclosures, financial statements, and ownership data from the official OpenDART system.

How It Works

1
🔍 Discover a helpful stock research buddy

While browsing investor tips online, you find this handy tool that lets AI chat apps pull Korean company filings and insights just by chatting.

2
📝 Grab your free access pass

Head to the official financial site, sign up in a minute, and get a simple pass emailed to you—no cost, easy as pie.

3
🧩 Link it to your AI chat helper

In your go-to AI app like Claude, paste one quick setup line with your pass, restart, and it's ready to fetch stock info on command.

4
💬 Ask away in plain talk

Just chat like 'How's Samsung management's buying vibe lately?' or 'Score Kakao's accounting risks'—no digging through apps needed.

5
📊 See magic insights appear

Watch as it delivers neat summaries, buy/sell signals from insiders, quality checklists, and full reports turned into easy reading.

✅ Invest smarter with confidence

Now you spot hidden gems or risks in Korean stocks effortlessly, turning casual chats into powerful research wins.

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Star Growth

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AI-Generated Review

What is korean-dart-mcp?

This TypeScript MCP server and CLI condenses 83 OpenDART APIs into 15 streamlined tools for querying Korean DART disclosures, financials, shareholder data, and XBRL. It delivers Buffett-grade analyst frames like insider trading clusters, accounting anomaly scores, and quality checklists, plus converts HWP/PDF attachments to readable markdown. Developers plug it into Claude Desktop or Cursor via simple config, pulling primary disclosure data without manual API wrangling.

Why is it gaining traction?

Unlike Python wrappers like OpenDartReader that spit out raw DataFrames, this offers LLM-ready outputs with smart aggregations—think one-call peer ROE rankings or 90-day auto-split market-wide searches. Unique perks include full XBRL parsing with calculation validation, HWP/PDF extraction via kordoc, and 22 presets for events like treasury buys or CB issuances. As the only Node.js/TypeScript MCP for OpenDART on GitHub, it fits seamlessly into AI workflows.

Who should use this?

Korean retail investors tracking 5-20 holdings who want insider signals or risk scores without HTS limits. DIY analysts bypassing broker reports for raw business reports or peer quality snapshots. AI tool builders integrating DART APIs into Cursor or Windsurf for disclosure queries.

Verdict

Grab it if you're in Korean markets and use MCP clients—docs are thorough with real examples, and setup takes minutes with a free OpenDART key. At 17 stars and 0.699999988079071% credibility, it's early but battle-tested for daily use; pair with Python libs for quants.

(198 words)

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