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Sports Betting MCP

by seang1121
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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 11 tools

    Disambiguation5/5

    Each tool targets a distinct function: odds retrieval, game analysis, pick management (today, top, pending, completed), alerts, model stats, leaderboard, win rate, and system health. No two tools overlap in purpose.

    Naming Consistency4/5

    Ten of eleven tools follow the 'get_' prefix pattern (e.g., get_live_odds, get_todays_picks). The sole exception is 'analyze_game', which uses a verb_noun form. This is a minor deviation but still predictable and clear.

    Tool Count5/5

    With 11 tools, the set is well-scoped for a sports betting analysis server. It covers all essential features without being bloated or sparse.

    Completeness4/5

    The tool surface covers the full workflow: fetching odds, analyzing games, retrieving picks (today, top, pending, completed), alerts, model stats, leaderboard, win rate, and system health. A minor gap is the lack of historical pick search or user-specific features, but core analysis is complete.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources