SQLite Literature Manager

This Literature Management System MCP server, developed by an unnamed creator, provides a comprehensive interface for managing research papers and integrating with knowledge graphs. Built with Python using SQLite and the FastMCP library, it offers tools for flexible paper identification, structured note-taking, entity linking, and research analysis. The server implements a robust database schema with support for various literature sources and entity relationships. By abstracting literature management operations into a consistent MCP format, it enables AI systems to easily track reading progress, analyze research trends, and identify knowledge gaps. This implementation is particularly valuable for academic and research applications, facilitating use cases such as literature reviews, research planning, and knowledge graph construction.