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christianclaudio

io.github.christianclaudio/espn

by christianclaudio
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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

    B3.2/5.0

    Scored across 33 tools

    Disambiguation3/5

    Several overlapping clusters exist: scoreboard vs league_events vs calendar, game_summary vs the many granular game tools, and athlete_overview vs bio/stats/gamelog/splits. Descriptions often clarify intended use, but an agent still has to choose carefully among similar data surfaces.

    Naming Consistency4/5

    Most tools follow a predictable snake_case pattern with resource/action naming and games_/teams_/news_ prefixes. Minor inconsistencies include mixing 'player' and 'athlete' terminology and placing team schedule under games_ while other team resources are under teams_.

    Tool Count2/5

    At 33 tools, the surface is heavy for an MCP server and exceeds the typical well-scoped range. The broad ESPN domain justifies many endpoints, but the count still creates a large selection space and some aggregation tools duplicate data available through narrower tools.

    Completeness4/5

    Coverage is extensive: scores, schedules, standings, news, teams, rosters, depth charts, player stats, game logs, splits, odds, futures, draft, rankings, play-by-play, and live situations are represented. Only minor gaps exist, such as no clearly standalone team injury or league metadata endpoint.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources