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"Academic paper search and research methodology analysis tool" matching MCP servers:

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    Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
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    117
    AGPL 3.0
  • A
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    Enables searching, downloading, and exporting academic papers from 20+ scholarly sources including arXiv, PubMed, and Semantic Scholar. Supports multi-source concurrent search, citation network tracing, and export to CSV, RIS, and BibTeX.
    Last updated
    MIT
  • A
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    Enables searching academic literature via Semantic Scholar with relevance filters, batch metadata retrieval, and citation-graph recommendations.
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    AGPL 3.0
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    Enables agents to search papers across Semantic Scholar and arXiv, read and extract text from arXiv PDFs, align records across sources, and produce structured literature-analysis digests.
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    An MCP server for searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, and Sci-Hub, designed for seamless integration with large language models like Claude Desktop.
    Last updated
    2
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    2,047
    MIT
  • A
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    A MCP server for academic literature retrieval, aggregating multiple data sources like arXiv, Crossref, OpenAlex, PubMed, and Semantic Scholar to provide search, details, citations, trends, and recommendations.
    Last updated
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    MIT
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    Enables searching for academic papers and preprints across multiple platforms including Semantic Scholar, arXiv, PubMed, and CrossRef. It provides access to research records, DOI lookups, and journal metadata through a unified interface deployed on Cloudflare Workers.
    Last updated
  • A
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    Enables retrieval of academic paper metadata, PDFs, full text, citations, and references by title via Semantic Scholar, arXiv, and other sources.
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    MIT
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    Enables searching and downloading academic papers from 14 platforms including arXiv, PubMed, Google Scholar, Web of Science, Springer, and Sci-Hub with unified data format and intelligent rate limiting.
    Last updated
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    MIT
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    Enables searching, downloading, and analyzing academic papers from arXiv and Semantic Scholar to extract key insights and citation metrics. It facilitates autonomous knowledge acquisition by processing research findings and integrating them into persistent AI memory systems.
    Last updated