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scholar-mcp

by Liyux3
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Python
Remote

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.8/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a clearly distinct task: finding papers, looking up a known paper, exploring related work, finding authors, downloading PDFs, and reading PDFs. The descriptions explicitly cross-reference when to use one tool instead of another, eliminating ambiguity.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern: search_papers, search_authors, download_paper, read_paper, recommend_papers. The outlier is paper_info, which uses noun_info instead of a verb like get_paper_info, creating a minor inconsistency.

    Tool Count5/5

    Six tools is a well-scoped size for an academic search and reading server. Each tool covers a necessary part of the workflow without redundancy or bloat.

    Completeness5/5

    The tool set covers the full scholarly research loop: discovering papers, retrieving metadata, finding related work, identifying authors, and accessing full text by downloading or reading. No obvious dead ends or missing core operations for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

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