Sports Betting MCP
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- AlicenseNot gradedqualityDmaintenanceEnables AI agents to access comprehensive sports data including football, basketball, American football, and hockey leagues via 11 tools, with no API key required.MIT
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- AlicenseNot gradedqualityBmaintenanceProvides access to comprehensive sports data from 5 major leagues (NBA, NFL, MLB, EPL, NHL) including teams, players, games, statistics, standings, injuries, and betting odds through 67+ endpoints. Enables users to query sports information and analytics through natural language.12MIT
TDQS
Scored across 11 tools
Each tool targets a distinct function: odds retrieval, game analysis, pick management (today, top, pending, completed), alerts, model stats, leaderboard, win rate, and system health. No two tools overlap in purpose.
Ten of eleven tools follow the 'get_' prefix pattern (e.g., get_live_odds, get_todays_picks). The sole exception is 'analyze_game', which uses a verb_noun form. This is a minor deviation but still predictable and clear.
With 11 tools, the set is well-scoped for a sports betting analysis server. It covers all essential features without being bloated or sparse.
The tool surface covers the full workflow: fetching odds, analyzing games, retrieving picks (today, top, pending, completed), alerts, model stats, leaderboard, win rate, and system health. A minor gap is the lack of historical pick search or user-specific features, but core analysis is complete.