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gamedai-nfl-mcp

by omniviewai
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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

    A3.5/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct resource: game scores, news, player grades, start/sit recommendations, and rankings. There is no meaningful overlap between any of the five tools, so an agent can confidently select the correct one.

    Naming Consistency5/5

    All tool names follow the same verb_noun pattern: get_game_scores, get_wire_news, get_player_grade, get_start_sit_recommendation, get_scout_rankings. The convention is uniform and predictable.

    Tool Count5/5

    Five tools is well-scoped for a read-only NFL data server. Each tool covers a clear data category without redundancy or padding, and the number feels appropriate for the domain size.

    Completeness4/5

    The set covers the core data types implied by the server name: scores, news, grades, start/sit advice, and rankings. Some potentially related endpoints (e.g., team or player details) are absent, but the existing surface likely matches the intended Gamedai/Scout API scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources