KIS MCP Server

The Kis Mcp Server bridges the Korean Investment Securities (한국투자증권) REST API with the Model Context Protocol, allowing AI assistants to perform real‑time stock trading and market data retrieval directly from a user’s brokerage account. By exposing the full spectrum of KIS’s trading capabilities—domestic and overseas equities, order placement, balance checks, and market depth queries—the server eliminates the need for developers to write custom API wrappers or manage OAuth flows. Instead, a single MCP endpoint provides structured, type‑safe calls that can be invoked by any compliant AI client.

For developers building AI‑powered financial tools, this server offers a turnkey solution to integrate live market data into conversational agents. Whether it’s a chatbot that answers “What is the current price of 005930?” or an automated portfolio manager that places a limit order when conditions are met, the MCP interface handles authentication, request throttling, and error translation. The asynchronous design guarantees low latency responses, essential for high‑frequency trading scenarios or time‑sensitive decision support.

Key capabilities include:

• Domestic stock operations: real‑time price queries, market‑order and limit‑order placement, balance snapshots, order history retrieval, and depth (bid/ask) inspection.
• Overseas stock support: multi‑market coverage (NASDAQ, NYSE, SEHK, Chinese A‑shares, Japanese markets, etc.), with full order placement and price lookup.
• Robust error handling: graceful degradation when API limits are hit or network issues occur, providing clear status codes back to the AI client.
• Scalable architecture: designed with extensibility in mind, allowing additional endpoints or market types to be added without disrupting existing workflows.

Typical use cases span from personal finance assistants that can fetch the latest ticker data to institutional tools that automate trade execution based on AI‑derived signals. In a research setting, the server can feed live market feeds into reinforcement learning agents, while in compliance‑heavy environments it respects KIS’s usage policies and supports sandbox accounts for safe testing.

By integrating this MCP server into an AI workflow, developers gain a secure, low‑overhead channel to execute trades and gather market intelligence, freeing them to focus on business logic rather than protocol plumbing.