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cholhwanjung

Claude Desktop Research MCP Server

by cholhwanjung
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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

    A3.9/5.0

    Scored across 19 tools

    Disambiguation5/5

    Each tool targets a distinct operation: paper search, metadata retrieval, full-text extraction, PDF download, figure/table extraction and pruning, citation/reference analysis with contexts, daily papers, recommendations, canvas visualization, and vault operations. No two tools have overlapping purposes; even the pair get_citations_by_citations and get_references_by_citations are clearly opposites.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_paper_by_id, extract_paper_figures, wiki_write_note). There are no deviations or mixed conventions, making the API predictable for an agent.

    Tool Count4/5

    With 19 tools, the server is slightly above the typical well-scoped range (3-15), but each tool addresses a specific need in the research workflow—from paper discovery to vault management. The count feels justified and not excessive.

    Completeness4/5

    The tool surface covers the complete research lifecycle: search, metadata retrieval, download, full-text reading, figure/table extraction, citation/reference analysis with contexts, recommendations, daily papers, canvas visualization, and vault CRUD. The only minor gap is the absence of a dedicated note deletion tool, but overwriting via wiki_write_note is possible.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources