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Alternatives to papergraph-mcp

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    Related Servers

    • A
      license
      C
      quality
      B
      maintenance
      Turns arXiv and LaTeX mathematical papers into theorem dependency graphs, exposing MCP tools to load papers, list theorems, get theorem details, find dependencies, and locate where theorems are used.
      68
      26 PyPI
      276
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables LLM agents to search academic literature, explore citation graphs, discover related papers, and export BibTeX using arXiv and Semantic Scholar, with prompts for evidence-grounded related-work summaries.
      8
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to search, download, and read arXiv papers, with automatic detection of open-source code repositories and support for both LaTeX and PDF content.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables LLMs to search arXiv, extract and analyze paper content, and build a personal semantically-searchable research library with saved papers and notes.
      -
    • A
      license
      A
      quality
      D
      maintenance
      Enables LLMs to search, download, and read arXiv papers with automatic PDF text extraction and section filtering. Provides AI assistants direct access to scientific literature with local caching for fast re-access.
      3
      35 PyPI
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP clients such as Claude Desktop, Claude Code, and Cursor to fetch and process arXiv papers from their LaTeX sources, so equations and mathematical expressions can be interpreted accurately.
      -

    TDQS

    C2.2/5.0

    Scored across 31 tools

    Disambiguation1/5

    Many tools have overlapping or near-identical functionality (e.g., workspace_add_local_paper vs load_paper, workspace_get_dependencies vs get_dependencies), making it difficult to choose the correct one.

    Naming Consistency1/5

    Naming is inconsistent: some tools use the workspace_ prefix, others don't; verbs vary between add, load, list, get, and where_used, and there are duplicate concepts with different names.

    Tool Count1/5

    31 tools is far beyond the typical well-scoped range, and the redundancy inflates the count unnecessarily, making the surface overwhelming and hard to navigate.

    Completeness2/5

    The tool set covers many reading and retrieval operations but lacks basic update/delete functionality, and the presence of duplicate operations suggests incomplete consolidation rather than comprehensive coverage.

    Maintenance

    ActivityMaintained
    ResponsivenessOutdated data