Sports Hub MCP Server
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- AlicenseBqualityBmaintenanceAggregates 42 sports API providers into a single service exposing 410 tools for scores, stats, odds, esports, college sports, chess, motorsport, boxing, and more across 70+ sports. Each provider works independently, so you only need API keys for the ones you use.16589 npmMIT
- AlicenseBqualityAmaintenanceAn MCP server that exposes sports-data APIs from multiple providers (AFL, Sportsbet, Entain, NRL) as interchangeable tools, enabling cross-provider odds and stats comparison.50075 PyPI32MIT
- FlicenseNot gradedqualityDmaintenanceMCP server providing tools to query live scores, schedules, standings, and game stats from the SportRadar API for multiple sports including NFL, NBA, NHL, NCAAMB, soccer, and tennis.-
- FlicenseBqualityDmaintenanceA unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.281-
- AlicenseAqualityAmaintenanceLive sports betting player props MCP server covering NBA, MLB, NFL, NHL, NCAA, and soccer. Unified from real sportsbooks into one REST API and a real MCP server (Streamable HTTP). Free tier, no card required.5MIT
- FlicenseNot gradedqualityBmaintenanceProvides read-only access to sports data, odds intelligence, and historical stats via 10 MCP tools, with fast response times through Redis caching.-
TDQS
Scored across 165 tools
Many tools across different providers deliver overlapping data (e.g., multiple standings tools from mlb, nhl, espn, sportsdb, sportsrc, squiggle; multiple scoreboard tools from espn, ncaa, nhl, sportsdb). While descriptions clarify the provider, an agent may struggle to choose the right source for a common request, leading to misselection. Some within-provider overlaps (e.g., f1_get_lap_times vs openf1_get_laps) further blur boundaries.
Nearly all tools follow a provider_verb_noun snake_case pattern (e.g., mlb_get_schedule, nhl_get_standings, lichess_get_user), with minor deviations like list_ instead of get_ for some listing tools (footballdata_uk_list_leagues) or missing noun (sportsrc_get_live). Overall predictable and readable.
165 tools is an extreme mismatch for a single MCP server; far beyond the typical 3-15 well-scoped range. It likely overwhelms the agent's selection process and suggests an unbounded aggregator rather than a focused toolset.
The surface comprehensively covers schedules, standings, rosters, player stats, play-by-play, news, and specialized data across dozens of leagues and sports, with generic providers filling gaps. Some niche operations (e.g., dedicated season stats for every league) may be missing, but agents can often work around them via ESPN or SportsDB generic tools.