Semantic Scholar

Integrates with the Semantic Scholar API to enable querying academic papers, authors, and citations for research and analysis tasks.

This Semantic Scholar API MCP server, built with FastMCP, provides a streamlined interface for AI assistants to access academic literature through the Semantic Scholar database. Developed to bridge the gap between AI systems and scholarly research, it offers tools for querying papers, authors, and citations. The implementation stands out by leveraging FastMCP's efficient request handling and Semantic Scholar's comprehensive academic database. By exposing Semantic Scholar's capabilities through standardized MCP endpoints, it allows AI systems to easily incorporate up-to-date research findings and bibliometric data. This server is particularly useful for enhancing AI assistants with academic research capabilities, supporting literature reviews, trend analysis in scientific fields, or building applications that require access to scholarly information.