About
An asynchronous MCP server that exposes Korean Investment Securities’ REST API for domestic and international stock trading, market data retrieval, account management, and order execution.
Capabilities
Overview
The 한국투자증권 REST API MCP server bridges the powerful KIS (Korea Investment & Securities) trading platform with AI assistants through the Model Context Protocol. It exposes a rich set of trading and market‑data endpoints—such as real‑time price lookup, order placement, balance inspection, and detailed trade history—for both domestic Korean equities and a wide array of international markets (U.S., Japan, China, Hong Kong, Vietnam). By wrapping these operations in MCP tools, developers can embed sophisticated brokerage interactions directly into conversational agents or other AI workflows without handling low‑level HTTP requests, authentication, or error parsing.
For developers building AI‑powered trading bots, research assistants, or financial dashboards, this server offers several compelling advantages. First, the asynchronous design guarantees minimal latency when fetching live quotes or submitting orders, a critical requirement for time‑sensitive market actions. Second, the server centralizes API key management through environment variables, reducing boilerplate and enhancing security across multiple deployments. Third, the comprehensive error‑handling layer translates common KIS exceptions—such as authentication failures, insufficient funds, or market‑time violations—into clear, actionable messages that AI agents can interpret and respond to gracefully.
Key capabilities are grouped into intuitive tool families:
- Domestic Stock Trading includes price queries, market‑price and limit orders, balance checks, order history retrieval, and bid/ask depth inspection.
- Overseas Stock Trading mirrors these functions for international exchanges, supporting a variety of market codes and allowing users to trade symbols like “AAPL” or “7203” across NASDAQ, NYSE, and Asian exchanges.
- Resources expose configuration parameters and trading‑hour tables so that agents can schedule actions appropriately or alert users when markets are closed.
Real‑world use cases span automated portfolio rebalancing, real‑time market monitoring dashboards, or interactive financial advisors that can place trades on behalf of users after a conversation. In a research context, the server enables data scientists to fetch live market feeds and historical orders for algorithmic backtesting or sentiment analysis pipelines. Because the MCP interface abstracts away platform specifics, developers can focus on business logic and user experience rather than API quirks.
In summary, the KIS REST API MCP server delivers a robust, low‑overhead bridge between Korean investment services and AI systems. Its asynchronous architecture, extensive feature set, and clear error semantics make it a standout choice for developers looking to integrate live trading capabilities into modern AI‑driven applications.
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