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Academic Paper Search MCP Server

by afrise

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables LLMs to search academic papers across multiple sources and retrieve paper metadata, abstracts, and full-text content when available from Semantic Scholar and Crossref.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables LLMs and compatible clients to search academic papers and retrieve detailed metadata, abstracts, and full-text content when available from Semantic Scholar and Crossref. Supports topic-based searches with optional date ranges and structured responses for tool/function calling.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables LLMs to search for academic papers, retrieve paper metadata and abstracts, and access full-text content when available from Semantic Scholar and Crossref.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables searching and retrieving academic paper information from Semantic Scholar and Crossref, including metadata, abstracts, full-text when available, and topic/date-range searches.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables LLMs to search academic papers across Semantic Scholar and Crossref, fetch detailed metadata and abstracts by DOI or paper ID, and filter topic searches by publication year. Results are returned as structured responses usable for natural-language research queries.
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    TDQS

    C2.8/5.0

    Scored across 3 tools

    Disambiguation2/5

    The tools 'search_by_topic' and 'search_papers' have significant overlap in purpose—both search for papers, with only minor differences in parameters. This creates ambiguity, as an agent might struggle to choose between them. The 'fetch_paper_details' tool is distinct, but the two search tools are not clearly differentiated.

    Naming Consistency3/5

    The naming is mixed: 'fetch_paper_details' uses a verb_noun pattern, while 'search_by_topic' and 'search_papers' use verb_preposition_noun and verb_noun styles, respectively. This inconsistency makes the set less predictable, though the names are still readable and descriptive.

    Tool Count2/5

    With only 3 tools, the server feels thin for an academic paper search domain. It lacks essential operations like filtering by author, journal, or citation count, and there's no update or delete functionality, which limits its utility for comprehensive paper management.

    Completeness2/5

    The tool surface is incomplete for academic paper search. It covers basic fetch and search operations but misses key features such as author-based searches, citation tracking, paper categorization, or integration with reference managers. This will likely cause agent failures in complex workflows.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive