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dataflowr

dataflowr

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Python
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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

    A4/5.0

    Scored across 18 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: overview, listing, detailed retrieval, search, navigation, quiz checking, and admin. Even similar tools like get_notebook_content, get_notebook_exercises, and get_notebook_url are differentiated by description.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_course_overview, list_modules, search_modules). No mixed naming conventions are present.

    Tool Count4/5

    18 tools is slightly above the typical 3-15 range, but each tool earns its place given the comprehensive course coverage (modules, sessions, homework, quizzes, notebooks, slides, search, suggestions, catalog sync).

    Completeness5/5

    The tool set covers the full lifecycle of content access and navigation for a course: listing, retrieval, search, prerequisites, quiz checking, and catalog maintenance. Missing functionality (e.g., progress tracking) is outside the server's stated scope.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources