MLB API
Provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface, bridging AI applications with baseball data sources.
About
This Model Context Protocol (MCP) server acts as a bridge between AI applications and Major League Baseball (MLB) data sources, enabling seamless integration of a wide array of baseball statistics, game information, player data, and more into AI workflows. It offers a comprehensive, FastAPI-based interface for accessing current standings, game schedules, live game data, historical records, and both traditional and advanced sabermetric player statistics.
Key Features
- Support for traditional and advanced sabermetric player statistics (WAR, wOBA, wRC+)
- 1 GitHub stars
- Automatic API documentation generation with interactive testing interface
- Comprehensive MLB data access (standings, schedules, player/team stats, live data)
- Extensive API endpoints for various MLB data types
- Model Context Protocol (MCP) integration for AI application compatibility
Use Cases
- Accessing live game data and historical records for real-time applications or research
- Retrieving comprehensive player and team statistics for analysis or display
- Integrating baseball statistics and game information into AI workflows and applications
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