Exposes comprehensive College Football Data API endpoints as callable tools for AI agents and developers.
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This Model Context Protocol (MCP) server provides a powerful interface to the College Football Data API, transforming its extensive endpoints into accessible tools. It allows AI agents and developers to effortlessly query a wide array of college football information, including team and player statistics, historical game results, recruiting data, various ratings (SP+, Elo, FPI), betting lines, and live game updates. Built on Python with FastMCP, it's designed for seamless integration with ADK-based AI agents, offering a structured way to interact with college football data resources.
Key Features
01Provides access to detailed team, player, and game statistics, including advanced metrics
020 GitHub stars
03Integrates with AI agents via Google ADK's `McpToolset` and Streamable HTTP transport
04Offers historical data on recruiting rankings, ratings (SP+, Elo, FPI, SRS), and poll results
05Exposes 50+ College Football Data API endpoints as callable tools
06Includes real-time data for live games and betting lines
Use Cases
01Building AI agents capable of answering complex college football queries
02Developing applications that require historical or real-time college football data integration
03Performing detailed statistical analysis and research on college football seasons and players
