Scholar Feed is an open-source MCP server that lets AI assistants search more than 600,000 computer science and AI papers. It provides citation graphs, full-text search, embeddings, and BibTeX generation for researchers and developers using Claude Code, Cursor, or other MCP clients.
In the RAG, search & retrieval space, Scholar Feed takes a focused approach. Finding, analyzing, and citing relevant computer science and AI research papers across a large scholarly corpus. It is built as an open-source project for researchers and developers using AI coding assistants. It runs on the command line and API, and it can be self-hosted.
It is developed by YGao2005. Key capabilities include paper search, citation graphs, and full-text search. It exposes integrations via an MCP server.
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