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literature-mcp

by SinCircle

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Alternatives to literature-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables LLM agents to search academic literature across multiple sources (IEEE, arXiv, ACM, Semantic Scholar, CORE, Scite, Consensus) and index/search local PDFs.
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      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.
      10
      1
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables LLMs to search multiple scholarly sources and retrieve paper metadata, abstracts, TL;DR summaries, and full-text links. Exposes tools for query and topic-based searching with date filters and for fetching detailed records from Semantic Scholar and Crossref.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.
      10
      MIT
    • 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.
      -
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to search and retrieve academic papers from arXiv and PubMed with citation-grade extraction, providing clean citations and summaries.
      -

    TDQS

    A3.7/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct data source or extraction type: four search tools for different databases (Crossref, Semantic Scholar, Tavily, arXiv), one for web page extraction, and one for PDF text extraction. No two tools overlap in purpose, and descriptions clearly differentiate their use cases.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern: search_[source], extract_url, read_paper_pdf. Snake_case is used throughout with no mixing of conventions, making the set predictable.

    Tool Count5/5

    Six tools are well-scoped for a literature search and reading server. Each adds a distinct capability (search across four sources, web extraction, PDF reading) without redundancy or bloat.

    Completeness5/5

    The surface covers multiple literature search sources, web search, web page extraction, and PDF reading, which fully supports the domain of finding and reading papers. No obvious gaps remain for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues