Korea Stock MCP Server

Korea Stock MCP Server

The Korea Stock MCP server bridges AI assistants with South Korean financial data by exposing a rich set of tools that tap into the official APIs of DART (the electronic disclosure system) and KRX (Korea Exchange). By providing programmatic access to corporate disclosures, XBRL‑based financial statements, and daily market data for KOSPI, KOSDAQ, and KONEX listings, the server enables AI agents to perform in‑depth equity research, trend analysis, and portfolio monitoring—all within a single conversational workflow.

For developers building AI‑powered investment tools, this server solves the pain point of sourcing reliable, up‑to‑date Korean market information. Rather than scraping websites or maintaining separate data pipelines, an AI assistant can call a concise tool such as or , receive structured JSON, and immediately incorporate the insights into a report or recommendation. The ability to parse original disclosure files means that analysts can extract granular line‑item data, calculate ratios, and detect material changes in a company’s financial health without manual intervention.

Key capabilities include:

• Disclosure Search & Retrieval – Filter by company, type, and date range; parse full disclosure documents for text mining or sentiment analysis.
• Financial Statement Analysis – Access all XBRL accounts, enabling automated ratio calculations and growth trend extraction.
• Stock Market Data – Retrieve daily price, volume, and market capitalization for any listed security; obtain basic listing information such as sector, market segment, and ticker code.
• Auxiliary Tools – Get today’s date in the required format or determine a security’s market type, simplifying data validation steps in AI scripts.

Typical use cases span academic research, fintech product development, and institutional analytics. An AI assistant can answer prompts like “Show me the revenue growth of Samsung Electronics from 2020 to 2022” or “Compare the EBITDA margins of two KOSPI companies over the last five years,” instantly fetching and summarizing data. Portfolio managers can embed these tools into their dashboards to receive real‑time alerts on earnings releases or significant price movements.

Integration with AI workflows is straightforward: the server’s tools are exposed through MCP, so any Claude or other MCP‑compatible assistant can invoke them via natural language. The assistant translates user intent into the appropriate tool call, handles authentication transparently using environment variables, and presents the parsed results in a conversational format. This tight coupling reduces latency and eliminates manual data handling, giving developers a powerful lever to build sophisticated Korean market analytics without deep domain expertise in API integration.