InformationNaru Library Search MCP

The Data4Library MCP is a dedicated Model Context Protocol server that unlocks the full breadth of South Korea’s national public‑library data for AI assistants. By interfacing directly with the 도서관 정보나루 (Data4Library) API, it transforms raw library metadata—spanning location, catalogues, lending statistics, and trend analyses—into a structured set of tools that can be invoked from within an AI conversation. For developers building intelligent assistants, this means instant access to up‑to‑date library information without the need for custom data ingestion pipelines.

At its core, the server exposes over 25 specialized tools. These range from simple lookup operations such as search_libraries and get_book_detail, to more sophisticated analytics like get_usage_trend and search_popular_books_by_library. Each tool accepts natural language–friendly parameters (e.g., region name, ISBN, or geographic coordinates) and returns machine‑readable JSON that can be seamlessly integrated into downstream prompts. The result is a conversational interface where users can ask, “Which libraries are near me?” or “What books are trending in Seoul?” and receive precise, real‑time answers.

The value proposition for developers is twofold. First, the server eliminates the friction of dealing with API keys, pagination, and data transformation—common pain points when working with large public datasets. Second, the rich set of analytical tools enables AI assistants to offer contextually relevant recommendations, trend insights, and personalized reading suggestions. For instance, a library‑search chatbot can not only list nearby branches but also surface the most popular titles at each location, or provide a heat‑map of reading activity across regions.

Real‑world use cases span education, tourism, and civic engagement. A university tutoring bot can suggest local libraries where students can access specific textbooks; a travel app can recommend nearby cultural centers and the latest literary events; a public‑service chatbot can inform citizens about regional reading statistics to support policy decisions. The location‑based search_nearby_libraries tool, combined with GPS data from the user’s device, makes it trivial to build “find‑my‑library” features that feel natural and instant.

Integration into AI workflows is straightforward thanks to MCP’s session management capabilities. The session_stats tool provides real‑time usage metrics, allowing developers to monitor call frequency and optimize prompt design. Because all interactions are stateless from the client’s perspective, multiple assistants can share a single Data4Library MCP instance without conflict. The server’s security assessment badge further assures that data handling complies with stringent standards, giving developers confidence when exposing library information in production environments.