Korea Stock Insight MCP Server

Korea Stock Insight MCP

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

MCP server for Korean stock market analysis. Drop-in for Claude Desktop, Cursor, Cline, and any MCP-compatible client. English-first tool descriptions for global LLM analysts researching Korean equities.

What you get

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

Why this server?

• English-first tool descriptions — built for global LLM analysts, no Korean fluency required
• DART + KRX in one place — disclosures, financials, and prices through a single MCP
• No vendor lock-in — runs locally via stdio with your own free DART API key
• MIT licensed, no telemetry, no account required

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\):

{
  "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:

{
  "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

• "Compare the Q1 2025 operating margins of Samsung Electronics, SK Hynix, and LG Energy Solution."
• "Show me all M&A-related disclosures for Naver in the last 60 days."
• "What's KODEX 200's price trend over the past 3 months?"
• "Pull Kakao's most recent annual report."

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

• DART OpenAPI by Korea's Financial Supervisory Service
• KRX daily prices via yfinance
• Model Context Protocol by Anthropic