Semantic Scholar MCP Server provides a bridge between AI assistants and the Semantic Scholar academic research database, enabling paper searches, retrieval of paper/author details, and analysis of citations and references. Built with FastMCP and asynchronous processing, it exposes tools for querying papers by keyword, accessing detailed metadata about specific papers and authors, and exploring citation networks. This implementation is particularly valuable for researchers and academics who need to search and analyze scientific literature without leaving their AI assistant interface.
Search for papers using a query string.
Get details of a specific paper.
Get details of a specific author.
Get citations and references for a paper.
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