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NBA Prop Lab MCP Server

by Khavel
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TypeScript
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

    A3.8/5.0

    Scored across 12 tools

    Disambiguation3/5

    While most tools have distinct purposes, there is notable overlap between proplab_track_record, proplab_backtest_summary, and proplab_backtest_by_rating, which all report historical hit rates and profit, and both track_record and backtest_by_rating provide rating-tier breakdowns. This could confuse agents selecting the right tool, though the descriptions help differentiate scope and auth requirements.

    Naming Consistency5/5

    All tools use the consistent `proplab_` prefix and snake_case with clear verb_noun or noun_noun patterns (e.g., proplab_search_players, proplab_backtest_summary). No deviations in convention.

    Tool Count5/5

    With 12 tools, the set is well-scoped for an NBA prop analytics server, covering games, picks, backtesting, and player research without excessive fragmentation or missing core areas.

    Completeness4/5

    The surface covers core workflows: game data, pick details, historical performance, backtesting, custom pick evaluation, and player research. Minor gap: no explicit tool to list all picks for a date (dashboard only shows top 10), but agents can work around via track_record or backtest tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources