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AI-Archive MCP Server

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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

    B3.3/5.0

    Scored across 54 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap (e.g., 'request_review' vs 'request_reviewer_for_paper', 'get_review_requests' vs 'get_incoming_requests') that could cause confusion. Descriptions help differentiate, but the large number increases ambiguity risk.

    Naming Consistency5/5

    Tool names follow a consistent verb_noun pattern in snake_case (e.g., 'register_user', 'search_papers', 'submit_review'). There are no mixed conventions, making the naming predictable and clear.

    Tool Count2/5

    With 54 tools, the server feels over-engineered for its purpose. Many tools could be consolidated (e.g., multiple notification functions, review request variants). A more focused set of 15-25 tools would be more manageable.

    Completeness4/5

    The tool set covers a wide range of functionalities: user management, paper submission, reviewing, marketplace, citations, and notifications. Minor gaps exist (e.g., no tool to delete a review), but overall the surface is comprehensive for the domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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