Connects Large Language Models to a SLiMS database to enable library search and information retrieval.
Sponsored
SLiMS acts as a Model Context Protocol (MCP) server, bridging Large Language Models (LLMs) with the Senayan Library Management System (SLiMS) database. It empowers LLMs with real-time access to library data, allowing them to perform various functions like searching for books by title, author, or subject, checking availability, retrieving statistics, and identifying popular titles or subjects. This integration enriches LLM applications by providing specialized domain knowledge about library catalogs and operations, making library information accessible through conversational AI.
Key Features
01Get recently added books
02Get most borrowed books based on loan history
030 GitHub stars
04Search books by title, author, or subject with pagination
05Check if a book is available for borrowing
06Get total book count statistics
Use Cases
01Integrating library search capabilities into AI assistants or chatbots
02Developing LLM-powered applications requiring real-time access to library catalogs
03Automating library information queries through conversational interfaces
