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GenKenobiJedi

soccer-mcp

by GenKenobiJedi
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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

    A3.8/5.0

    Scored across 7 tools

    Disambiguation3/5

    get_fixtures and get_results overlap substantially—get_results is essentially the finished-match subset of get_fixtures with only_finished enabled—so agents could misselect between them. The other tools are mostly distinct, especially the betting math tools, though devig_market and evaluate_price both deal with odds and probabilities and require careful reading of their descriptions.

    Naming Consistency4/5

    Most names follow a clear verb_noun snake_case pattern: get_fixtures, get_results, settle_picks, devig_market, evaluate_price. Minor deviations include engine_status and parlay_math, which are noun-centric rather than imperative, but the overall style remains readable and predictable.

    Tool Count5/5

    Seven tools is a well-scoped size for a soccer betting analytics server. Each tool has a clear role in the workflow, from fetching fixtures and results to settling picks, devigging odds, evaluating prices, and computing parlay math.

    Completeness4/5

    The core betting workflow is well covered: data retrieval, pick settlement, margin removal, price evaluation, and parlay calculations. Minor gaps exist around current odds fetching and league/team metadata, but agents can work around these since most math tools accept prices and probabilities as inputs.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources