Korea Stock Insight Mcp

io.github.yjhann33-designPublished by GitHub account yjhann33-designv0.1.3Updated Oct 24, 2026

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

VerifiedSTDIODesktop onlyFinanceData & Analytics

Overview

AI-generated overview

Local MCP server that lets an assistant look up Korean DART filings, XBRL financial statements and KOSPI/KOSDAQ daily prices in English.

What you can do
Resolve Korean company names or 6-digit tickers to DART corp_codes, and get today's date in KST/UTC for date-range queries. List recent DART disclosures and fetch a filing's metadata with its viewer link. Retrieve full XBRL financial statements, consolidated or separate, quarterly or annual. Pull daily OHLCV quotes for KOSPI/KOSDAQ stocks and ETFs.
When to use it
Useful for English-speaking analysts researching Korean equities who want filings, financials and price history from one assistant turn instead of browsing DART manually. Good for peer comparisons, disclosure monitoring before a catalyst, and combining a filing with recent price movement.
Requirements
Runs locally over stdio, installed with uvx or pipx from the PyPI package korea-stock-insight-mcp, so a Python toolchain with uv or pipx is needed. A free DART API key from opendart.fss.or.kr is required and passed in the DART_API_KEY environment variable. Price quotes come from yfinance and need network access; no account or credit card is required.
Before you install
The DART_API_KEY is a secret placed in the client configuration file, so keep that file private. The server reads public disclosure and market data and does not appear to write, send or delete anything, but queries go to DART and to yfinance, so they leave your machine despite the local stdio transport. Data is informational only and not investment advice.

Installation

In SourceWeft

  1. Open Korea Stock Insight Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Korea Stock Insight MCP

mcp-name: io.github.yjhann33-design/korea-stock-insight-mcp

[PyPI] [License: MIT]

English-first MCP — built for global LLM analysts, not Korean fluency speakers.

Drop-in for Claude Desktop, Cursor, Cline, and any MCP-compatible client. Ask in English, get Korean filings, financials, and KOSPI/KOSDAQ prices in one tool call chain — DART corp_code lookup, disclosures, XBRL statements, daily OHLCV.

What you get

ToolWhat it does
get_today_dateToday in KST/UTC (YYYYMMDD) — call before any date-range query
get_corp_codeResolve Korean company name or 6-digit ticker → DART corp_code
get_disclosure_listRecent DART filings (date, title, type, receipt no.)
get_disclosureFiling metadata + canonical viewer URL
get_financial_statementFull XBRL financial statements (consolidated/separate, quarterly/annual)
get_stock_quoteDaily OHLCV from KOSPI/KOSDAQ (via yfinance, no key required)

DART (전자공시시스템) is South Korea's electronic disclosure system — the SEC EDGAR equivalent, operated by the Financial Supervisory Service (FSS).

Why English-first matters

Korean public filings are written in Korean, ticker codes are 6-digit numerics with no global mnemonic, and the disclosure system (DART) has no English equivalent of EDGAR's full-text search. For a non-Korean analyst, that's three friction layers before any actual research.

This server collapses them. Tool descriptions, parameter names, and examples are all written for an LLM that doesn't read Korean — company resolution accepts English names ("Samsung Electronics", "Naver"), responses include English context where useful, and the workflow is one Claude/Cursor turn instead of three browser tabs.

  • English-first tool descriptions — names, params, examples all in English
  • DART + KRX in one place — disclosures, financials, daily prices through a single MCP
  • One-line install, no account — uvx korea-stock-insight-mcp and you're done (only a free DART key needed)
  • Local stdio, MIT, no telemetry — your queries don't leave your machine

Quick start (Claude Desktop)

1. Get a free DART API key

Register at opendart.fss.or.kr and grab your API key from the user page. Instant, free, no credit card.

2. Add to your Claude Desktop config

Edit claude_desktop_config.json (location: macOS ~/Library/Application Support/Claude/, Windows %APPDATA%\Claude\):

json
{  "mcpServers": {    "korea-stock-insight": {      "command": "uvx",      "args": ["korea-stock-insight-mcp"],      "env": {        "DART_API_KEY": "YOUR_DART_KEY_HERE"      }    }  }}

If you don't have uvx, install uv first (one-liner on macOS/Linux/Windows), or use pipx:

json
{  "mcpServers": {    "korea-stock-insight": {      "command": "pipx",      "args": ["run", "korea-stock-insight-mcp"],      "env": {"DART_API_KEY": "YOUR_DART_KEY_HERE"}    }  }}

3. Restart Claude Desktop and try

"What were Samsung Electronics' most recent disclosures? Pull their last quarter's revenue and operating profit."

Claude will chain get_corp_code("Samsung Electronics") → get_disclosure_list("005930") → get_financial_statement(corp_code, 2025, "FY") automatically.

Sample queries (30 seconds, copy-paste into Claude)

Three workflows global analysts actually run on Korean equities. Each one chains 2–4 tool calls automatically.

1. Memory-cycle peer comparison

"Compare Samsung Electronics and SK Hynix on revenue, operating margin, and capex for the most recent annual filing. Highlight where they diverge."

Resolves both names to corp_codes → pulls latest XBRL → returns a side-by-side. Useful for tracking the HBM/DRAM cycle.

2. Disclosure radar before a catalyst

"Show me Naver's last 30 days of DART filings. Flag anything about earnings, M&A, share buybacks, or executive changes."

get_disclosure_list with date range, then Claude triages titles. No Korean reading required — the tool description tells Claude what filing types to look for.

3. Price + filing context in one turn

"What did Kakao file most recently, and how has the stock moved on KOSPI over the past 90 days?"

Combines get_disclosure_list + get_stock_quote so you get the news and the price reaction in the same answer.

Other examples

  • "Pull LG Energy Solution's last annual report and summarize the management discussion."
  • "What's the KODEX 200 ETF's 6-month trend?" (works with ETFs too)
  • "For Hyundai Motor, list every disclosure tagged as a major decision (주요사항보고서) in 2025."

Roadmap

  • v0.2 — Full disclosure body extraction (zipped XBRL → plain text)
  • v0.3 — Multi-company batch queries, sector aggregations
  • Future — Optional hosted tier with English-summarized disclosures and webhook push (no ETA; track progress in GitHub Issues)

Feedback & contributions

This is solo-maintained, and stdio mode means I can't see who's using it. The only signals I get are PyPI downloads, GitHub stars, and what you tell me.

If this helps you, please let me know:

  • 🐛 Open an issue — bugs, missing tools, broken queries
  • 💬 Discussions — "anyone analyzed [ticker]?", "is this the right tool for X?", general questions
  • ⭐ Star the repo — easiest way to signal demand and shape the roadmap

If you actually analyze Korean stocks with Claude/Cursor, I'd genuinely love to hear what queries you run and what's missing.

License

MIT. See LICENSE.

Acknowledgments

Source: README.md at commit 7084e6c

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.3LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts