KiMCP

KiMCP is a Model Context Protocol (MCP) server that bridges Korean public and commercial APIs—such as Naver, Kakao, and TMAP—with large‑language‑model (LLM) applications. By exposing these services as MCP tools, developers can let AI assistants perform real‑world tasks like searching blogs, fetching news, locating businesses, and navigating routes without leaving the LLM environment. The server solves a common pain point: integrating heterogeneous Korean APIs into conversational AI workflows while keeping authentication, rate‑limiting, and error handling encapsulated behind a single MCP interface.

The server implements dozens of ready‑to‑use tools: Naver blog, news, cafe, knowledgeiN, regional, image, and shopping searches; Daum (a Korean search portal) blog and cafe queries; KakaoMap place lookups, car‑route planning, and TMAP public‑transport routing. Each tool consumes the respective provider’s REST endpoints, transforms responses into MCP‑compatible JSON, and returns them to the AI client. This abstraction lets developers focus on prompt design rather than API quirks, and it ensures consistent pagination, filtering, and data normalization across all services.

Key capabilities include automatic tool activation based on available API keys—if a key is missing, the corresponding tool is disabled to avoid runtime errors. The server also supports custom prompts and sampling parameters, enabling fine‑tuned control over the LLM’s behavior when interacting with these tools. Developers can chain multiple searches or combine map data with product listings to create complex, context‑aware assistants that retrieve up-to-date information directly from Korean platforms.

Typical use cases span customer support bots that pull local business details, travel planners that generate multi‑modal routes, e‑commerce assistants that compare prices across Naver Shopping, and content creators that harvest blog or news snippets for research. By integrating KiMCP with Claude Desktop or any MCP‑compatible client, teams can rapidly prototype AI agents that feel native to Korean users while leveraging the full power of LLMs.

What sets KiMCP apart is its focused regional coverage and seamless MCP integration. While many MCP servers target generic web APIs, KiMCP delivers a curated suite of Korean services with minimal configuration. Its modular design allows selective activation, making it lightweight for projects that only need a subset of tools. For developers building AI assistants in Korea, KiMCP offers an out‑of‑the‑box solution that turns complex API ecosystems into simple, conversationally accessible actions.