What features does CFBD API MCP server provide?

Q: What features does CFBD API MCP server provide?

Schema endpoints documentation: Access schema documentation for endpoints such as games, records, plays, drives, play stats, rankings, and metrics.. Direct query tools: Query endpoints directly (get-games, get-records, get-plays, get-drives, get-play-stats, get-rankings, get-pregame-win-probability, get-advanced-box-score).. Pre-built prompts: Prompts like analyze-game, analyze-team, analyze-trends, compare-teams, and analyze-rivalry for quick analyses.. Pregame win probability and rankings: Access pregame win-probability metrics and team rankings across polls via dedicated schema endpoints.. Advanced statistics and box scores: Retrieve advanced box score statistics and other detailed game analytics via schema endpoints.. Play-by-play and drive data: Get play-by-play information and drive summaries to support in-depth game analysis.. Claude Desktop integration: Provides configuration and workflows to run the MCP server with Claude Desktop, including uv commands and environment setup.. API usage guidance: Includes guidance on API rate limits, Patreon-backed limits, caching considerations, and best practices.

CFBD API MCP Server 2025: Features & Setup Guide

Overview

The College Football Data MCP Server is an MCP server implementation that exposes data from the College Football Data API v2 through an MCP interface, enabling AI assistants and applications to query comprehensive college football statistics in natural language. It supports access to game information and scores, team season records, detailed team game data, play-by-play data, drive summaries, and individual play statistics, as well as rankings and win-probability metrics. The server exposes endpoints such as schema://games, schema://records, schema://plays, schema://drives, schema://play/stats, schema://rankings, and schema://metrics/wp/pregame, plus schema://game/box/advanced for advanced statistics. It includes resources, tools, and prompts for analysis (e.g., analyze-game, analyze-team, analyze-trends, compare-teams, analyze-rivalry), and is designed to integrate with Claude Desktop via configuration examples showing how to run uv, supply API keys, and connect the server. The README covers installation, updates, troubleshooting, and development structure to support ongoing development and usage.

Features

Schema endpoints documentation

Access schema documentation for endpoints such as games, records, plays, drives, play stats, rankings, and metrics.

Direct query tools

Query endpoints directly (get-games, get-records, get-plays, get-drives, get-play-stats, get-rankings, get-pregame-win-probability, get-advanced-box-score).

Pre-built prompts

Prompts like analyze-game, analyze-team, analyze-trends, compare-teams, and analyze-rivalry for quick analyses.

Pregame win probability and rankings

Access pregame win-probability metrics and team rankings across polls via dedicated schema endpoints.

Advanced statistics and box scores

Retrieve advanced box score statistics and other detailed game analytics via schema endpoints.

Play-by-play and drive data

Get play-by-play information and drive summaries to support in-depth game analysis.

Claude Desktop integration

Provides configuration and workflows to run the MCP server with Claude Desktop, including uv commands and environment setup.

API usage guidance

Includes guidance on API rate limits, Patreon-backed limits, caching considerations, and best practices.