About
Provides instant KOSPI/KOSDAQ data, technical indicators, DCF valuation, news sentiment, and peer comparison, all powered by six renowned investment methodologies.
Capabilities
Overview
The Korea Stock Analyzer MCP Server is a purpose‑built bridge between AI assistants and the Korean equity market. It delivers real‑time data from KOSPI/KOSDAQ through reliable Python libraries such as pykrx and Yahoo Finance, allowing Claude or other MCP‑enabled agents to perform deep financial analysis without leaving the chat. By exposing a rich set of tools—financial metrics, technical indicators, DCF valuation, news sentiment, and institutional flow—the server turns raw market data into actionable intelligence that can be queried with natural language.
The core value proposition lies in its integration of six proven investment frameworks—from Warren Buffett’s focus on ROE to John Templeton’s contrarian “maximum pessimism” approach. Each framework is encapsulated in a dedicated tool, enabling developers to layer strategy‑specific logic on top of generic data. For example, a user can ask the assistant to “compare NAVER with Kakao using Philip Fisher’s 15‑point checklist,” and the MCP will fetch the latest financials, compute the required ratios, and return a structured comparison. This level of analytical depth is rarely available in generic finance APIs, giving the server an edge for research‑grade or portfolio‑management workflows.
Key capabilities include:
- Real‑time financial metrics (PER, PBR, ROE, EPS, dividend yield) and technical indicators (RSI, MACD, Bollinger Bands, moving averages).
- DCF valuation that calculates intrinsic value based on projected cash flows.
- News and sentiment analysis, automatically pulling headlines relevant to a ticker and summarizing market mood.
- Institutional/foreign flow tracking, exposing smart‑money trends that can signal entry or exit points.
- Peer comparison across industry groups, enabling relative valuation studies.
- Six pre‑built investment strategy modules that can be invoked individually or combined.
In practice, the MCP is ideal for developers building AI‑powered financial assistants, robo‑advisors, or educational tools. A chatbot can instantly answer “Is Samsung Electronics undervalued?” by invoking the DCF tool, or a portfolio manager can request “Show me the latest sentiment on KOSDAQ tech stocks” and receive a curated news digest. The server’s HTTP API mode also means it can be hosted on Vercel or any cloud platform, making it accessible from KakaoTalk or other messaging services without the need for local installation.
Unique advantages stem from its dual‑mode deployment (local MCP server and remote HTTP endpoint), the breadth of strategy coverage, and its tight coupling with Korean market data sources. By abstracting complex calculations into callable tools, the Korea Stock Analyzer MCP Server empowers AI assistants to provide nuanced, data‑driven investment insights that would otherwise require extensive manual effort or proprietary APIs.
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