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Semantic Scholar MCP Server

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables searching and retrieving academic paper metadata from Semantic Scholar, including paper details, citations, and author information.
      20
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    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables comprehensive academic research through the Semantic Scholar API, including paper search, author discovery, citation network analysis, and full-text access from arXiv and Wiley sources.
      33 npm
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables searching academic papers, exploring citation graphs, and looking up authors from Semantic Scholar's database of 200M+ papers.
      4
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    • A
      license
      A
      quality
      C
      maintenance
      Enables retrieval of academic paper metadata, PDFs, full text, citations, and references by title via Semantic Scholar, arXiv, and other sources.
      6
      1
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to query the Semantic Scholar Academic Graph for scholarly paper data, supporting tools for search, retrieval, and analysis.
      5 npm
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    TDQS

    A4/5.0

    Scored across 14 tools

    Disambiguation5/5

    Every tool targets a distinct operation or resource: search vs. match vs. snippet search vs. bulk search; single get vs. bulk; authors vs. papers vs. recommendations vs. citation export. The descriptions explicitly cross-reference related tools (e.g., pointing to bulk_search for large sets, multi_recommend for several examples) so there is no ambiguity about when to use one over another.

    Naming Consistency4/5

    All names share the consistent semantic_scholar_ prefix and mostly follow verb_noun (search_papers, get_paper, export_citation). A few names drop the verb (status, recommendations, paper_authors, author_batch), creating minor deviations, but these are still easily readable and mnemonic.

    Tool Count5/5

    With 14 tools, the set covers the core Semantic Scholar API surface without bloat. Each tool adds a distinct capability or batching alternative, and the range falls within the ideal 3–15 band.

    Completeness5/5

    The tools cover all major operations users would need from Semantic Scholar: paper search (keyword, bulk/sorted, full-text, title-match), paper retrieval (single and batch), author search and profiles, recommendations (single/multi), citation export, and status. No critical operation is missing for a read-only academic paper API.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive