This Semantic Scholar MCP server, developed by an unnamed creator, provides a robust interface to the Semantic Scholar Academic Graph API. Built with Python using FastMCP and httpx, it offers tools for paper search, citation analysis, author information retrieval, and paper recommendations. The server implements advanced features like complex filtering, customizable ranking strategies, and efficient batch operations. By abstracting Semantic Scholar API operations into a standardized MCP format, it enables AI systems to easily access and analyze academic literature at scale. This implementation is particularly valuable for research and academic applications, facilitating use cases such as literature reviews, trend analysis, citation network exploration, and personalized paper recommendations.
YUZongmin