MCP server for academic research data including scholarly papers, citations, research trends, and publication metadata for AI agents.
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Scored across 2 tools
Both tools search for academic papers, but descriptions clearly differentiate: arXiv focuses on peer-reviewed papers in specific fields, while Google Scholar covers all disciplines with citation metrics. Users can distinguish by domain, but the core purpose is similar.
Both tools follow a consistent 'search_' prefix and underscore-separated names indicating the source, creating a predictable pattern.
With only two tools, the server feels minimal but not unreasonable for a focused search service. However, a broader research server might expect additional tools for fetching full text or managing bibliographies.
The server covers the core search functionality across two major databases, but lacks tools for retrieving papers by ID, downloading PDFs, or managing references, which are common complementary actions.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
search_arxiv2 fields changedInput schema / properties / max_results / descriptionAdded value: +"Number of papers to return (default 10, higher values for comprehensive literature review)"Input schema / properties / query / descriptionAdded value: +"Research keywords or topic (e.g. 'neural networks', 'quantum computing', 'protein folding')"search_google_scholar2 fields changedInput schema / properties / max_results / descriptionAdded value: +"Maximum papers to retrieve (default 10, recommended for focused results)"Input schema / properties / query / descriptionAdded value: +"Search terms or research topic (e.g. 'machine learning bias', 'climate change economics', 'gene therapy advances')"search_arxivsearch_google_scholar
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