Scholar Feed
Search over 600,000 Computer Science and AI research papers, complete with citation graphs, full text access, embeddings, and BibTeX exports directly within your MCP client.
Search over 600,000 Computer Science and AI research papers, complete with citation graphs, full text access, embeddings, and BibTeX exports directly within your MCP client.
Scholar Feed provides a powerful Model Context Protocol (MCP) server designed for researchers to streamline their literature review process. It indexes over 600,000 Computer Science and AI research papers from arXiv daily, enhancing each entry with LLM-generated summaries and novelty scores. Users can perform semantic and keyword searches, explore citation graphs, retrieve full texts, and export BibTeX entries without leaving their preferred MCP client like Claude Code or Cursor. The tool ranks papers using a sophisticated multi-signal scoring system, helping users discover genuinely novel and impactful research.