mcp-server-fss-dart
Enables AI agents to analyze Korean corporate filings from DART with token-efficient footnote parsing, financial anomaly detection, and historical stock price correlation.
README
mcp-server-fss-dart
A Model Context Protocol (MCP) server for FSS Open DART (금융감독원 전자공시시스템) with token-efficient footnote parsing, financial anomaly detection, and historical stock price correlation.
Features
This MCP server equips AI Agents (like Claude Code, Cursor, Windsurf, or Gemini) with the following tools to audit Korean companies:
get_corporate_details: Resolves a corporate name or stock ticker to its DART corporate code.get_financial_anomalies: Evaluates primary accounting metrics (Debt-to-Equity ratio, Current ratio, Net Income) and flags potential accounting red-flags.get_footnote_section: Semantic footnote query that unzips and extracts relevant report chunks matching keywords like "litigation" (소송), "debt guarantee" (지급보증), or "related party" (특수관계자) to prevent token bloat.get_stock_chart: Fetches historical stock price trends and Simple Moving Averages (SMA) from Yahoo Finance to correlate financial anomalies with market activity.
설치 및 설정 (Installation)
Prerequisites
- Python 3.10 or higher
- An Open DART API Key from FSS Open DART
1. Installation
Clone this repository and install the dependencies:
git clone https://github.com/<your-username>/mcp-server-fss-dart.git
cd mcp-server-fss-dart
pip install .
2. Configuration for Claude Desktop
Add the following block to your Claude Desktop configuration file (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"fss-dart": {
"command": "python3",
"args": ["-m", "mcp_server_fss_dart.server"],
"env": {
"DART_API_KEY": "YOUR_40_DIGIT_DART_API_KEY_HERE"
}
}
}
}
한국어 안내 (Korean Guide)
본 프로젝트는 AI 에이전트가 금융감독원 Open DART API를 통해 한국 기업의 공시자료와 감사보고서 주석을 분석할 수 있도록 돕는 MCP(Model Context Protocol) 서버입니다.
특징
- 토큰 효율적 주석 분석: 대용량 감사보고서 주석 중에서 "소송", "보증", "특수관계자" 등 핵심 악재 키워드 매칭 문맥만 핀포인트로 파싱하여 AI 에이전트에 공급합니다.
- 이상징후 사전 탐지: 부채비율 200% 초과, 유동비율 100% 미만, 당기순이익 적자 등의 재무적 위험 신호를 자동으로 계산하여 감지 플래그로 반환합니다.
- 실시간 주가 차트 연동: 야후 파이낸스(Yahoo Finance)를 통해 실시간 주가 추이와 이동평균선(SMA5, SMA20)을 가져와 기업의 공시 리스크와 주가 변동의 연관 관계를 분석합니다.
실행 방법
상기 설정(Configuration)을 완료한 후, Claude Desktop 또는 MCP 지원 클라이언트를 실행하면 대화창에서 AI에게 다음과 같이 지시할 수 있습니다.
"카카오(035720)의 재무 상태를 분석하고, 2025년도 감사보고서 주석에서 소송 관련 내용이 있는지 찾아줘. 그리고 최근 주가 차트도 요약해 줘."
License
This project is licensed under the MIT License.
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