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MLB Stats MCP

MLB Stats MCP

by prnv-13
OverviewSchemaSourceRelated ServersDiscussionsAdmin
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

    A4/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool maps to a distinct resource and action: team listing vs. roster, player lookup vs. bio vs. stats vs. game log, league leaders, schedule, single game, and standings. The descriptions explicitly explain boundaries (e.g., search_players yields the player_id consumed by the player tools; get_schedule vs. get_game is list vs. single game). No two tools appear to do the same thing.

    Naming Consistency5/5

    All tools follow a snake_case verb_noun pattern (get_player_stats, get_team_roster, get_league_leaders), with 'list_teams' appropriately using list for the only enumeration endpoint and 'search_players' for the lookup. No camelCase or vague-verb deviations.

    Tool Count5/5

    Ten tools is right-sized for an MLB stats server: one per core entity/operation (teams, roster, player lookup, bio, stats, game log, leaders, schedule, game, standings) with no redundant entries.

    Completeness4/5

    The surface covers the core fan/analyst workflow end to end: discover teams and players, then pull bios, season/career stats, game logs, leaders, schedules, box scores, and standings. Gaps are minor: no transactions, injuries, or team-level aggregate stats, and schedule lookups are discouraged for long ranges.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources