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SportIQ

by Ninjabeam20
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Python
Hybrid

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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

    A4.2/5.0

    Scored across 44 tools

    Disambiguation5/5

    Each tool targets a specific function within its sport (e.g., fantasy team building, live odds, match prediction, driver analysis). Despite the large number, descriptions clearly differentiate purposes, and no two tools appear to do the same thing.

    Naming Consistency5/5

    All tools follow a consistent snake_case pattern with a sport prefix (e.g., cricket_build_dream11_team, f1_get_drivers, football_find_value_bets). Verb_noun structure is maintained throughout, making the naming predictable.

    Tool Count4/5

    With 44 tools across three sports plus cross-sport functionality, the count is slightly high but justified by the breadth of coverage. The scope is well-defined for a multi-sport analytics server, and each tool serves a distinct purpose without overwhelming redundancy.

    Completeness5/5

    The tool set covers the major aspects of each sport: cricket (fantasy, odds, match data, player stats), F1 (drivers, sessions, race analysis, weather, strategy), and football (match prediction, tournament simulation, odds, standings). No obvious gaps are present for the stated domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources