Literature Memory

This Literature Management MCP server, developed by an unnamed creator, provides a comprehensive system for managing academic sources and integrating them with knowledge graphs. Built with Python using FastMCP and SQLite, it offers tools for source tracking, note-taking, and entity linking across various source types like papers, books, and webpages. The server implements features such as flexible identifier management, structured note organization, and bidirectional entity relationships. By bridging literature management with knowledge graphs, it enables AI systems to efficiently analyze and contextualize academic sources. This implementation is particularly valuable for researchers and knowledge workers, facilitating use cases such as literature reviews, citation network analysis, and knowledge base construction in academic and professional settings.