ScholarFetch

ScholarFetch

MCP server for multi-engine academic paper search, reading lists, and export.

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About ScholarFetch

ScholarFetch is a multi-engine academic research MCP server that exposes advanced scholarly paper search, traversal, reading list management, citation export, and full text retrieval to MCP-compatible AI assistants and agents. By integrating with major scholarly APIs like Elsevier, OpenAlex, Crossref, arXiv, Europe PMC, Springer Nature, and Semantic Scholar, it allows AI workflows and human users to conduct deep, repeatable academic literature exploration, build and curate reading lists, and export research corpora in multiple formats. It is ideal for AI research agents, academic researchers, and developers looking to automate or streamline academic literature review and synthesis within their AI applications.

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