This MCP server contains 51 operations which is significantly more than the recommended maximum of tools for most AI clients.
Seek a simplified MCP server that utilizes the official n8n tool implementation for College Football Data if available, as it will be more efficient and easier to manage.
BEFORE adding this MCP server to your client:
AFTER adding the MCP server to your client:
1.Selective tool enabling - Instead of enabling all tools (default), manually select only the specific tools you need for that Workflow's MCP client.
2. Monitor performance - Too many tools can slow down AI responses
Keep maximum 40 enabled tools - Most AI clients perform better with fewer tools
This workflow converts the College Football Data API into an MCP-compatible interface for AI agents.
• MCP Trigger: Serves as your server endpoint for AI agent requests
• HTTP Request Nodes: Handle API calls to https://api.collegefootballdata.com
• AI Expressions: Automatically populate parameters via $fromAI()
placeholders
• Native Integration: Returns responses directly to the AI agent
• GET /calendar: Season calendar
• GET /coaches: Coaching records and history
• GET /conferences: Conferences
• GET /draft/picks: List of NFL Draft picks
• GET /draft/positions: List of NFL positions
• GET /draft/teams: List of NFL teams
• GET /drives: Drive data and results
• GET /game/box/advanced: Advanced box scores
• GET /games: Games and results
• GET /games/media: Game media information and schedules
• GET /games/players: Player game stats
• GET /games/teams: Team game stats
• GET /games/weather: Game weather information (Patreon only)
• GET /lines: Betting lines
• GET /live/plays: Live metrics and PBP (Patreon only)
• GET /metrics/wp: Win probability chart data
• GET /metrics/wp/pregame: Pregame win probability data
• GET /play/stat/types: Types of player play stats
• GET /play/stats: Play stats by play
• GET /play/types: Play types
• GET /player/portal: Transfer portal by season
• GET /player/returning: Team returning production metrics
• GET /player/search: Search for player information
• GET /player/usage: Player usage metrics broken down by season
• GET /plays: Play by play data
• GET /ppa/games: Team Predicated Points Added (PPA/EPA) by game
• GET /ppa/players/games: Player Predicated Points Added (PPA/EPA) broken down by game
• GET /ppa/players/season: Player Predicated Points Added (PPA/EPA) broken down by season
• GET /ppa/predicted: Predicted Points (i.e. Expected Points or EP)
• GET /ppa/teams: Predicted Points Added (PPA/EPA) data by team
• GET /rankings: Historical polls and rankings
• GET /ratings/elo: Historical Elo ratings
• GET /ratings/sp: Historical SP+ ratings
• GET /ratings/sp/conferences: Historical SP+ ratings by conference
• GET /ratings/srs: Historical SRS ratings
• GET /records: Team records
• GET /recruiting/groups: Recruit position group ratings
• GET /recruiting/players: Player recruiting ratings and rankings
• GET /recruiting/teams: Team recruiting rankings and ratings
• GET /roster: Team rosters
• GET /scoreboard: Live game results (Patreon only)
• GET /stats/categories: Team stat categories
• GET /stats/game/advanced: Advanced team metrics by game
• GET /stats/player/season: Player stats by season
• GET /stats/season: Team statistics by season
• GET /stats/season/advanced: Advanced team metrics by season
• GET /talent: Team talent composite rankings
• GET /teams: Team information
• GET /teams/fbs: FBS team list
• GET /teams/matchup: Team matchup history
• GET /venues: Arena and venue information
Parameter Handling: AI agents automatically provide values for:
• Path parameters and identifiers
• Query parameters and filters
• Request body data
• Headers and authentication
Response Format: Native College Football Data API responses with full data structure
Error Handling: Built-in n8n HTTP request error management
Connect this MCP server to any AI agent or workflow:
• Claude Desktop: Add MCP server URL to configuration
• Cursor: Add MCP server SSE URL to configuration
• Custom AI Apps: Use MCP URL as tool endpoint
• API Integration: Direct HTTP calls to MCP endpoints
• Zero Setup: No parameter mapping or configuration needed
• AI-Ready: Built-in $fromAI()
expressions for all parameters
• Production Ready: Native n8n HTTP request handling and logging
• Extensible: Easily modify or add custom logic
🆓 Free for community use! Ready to deploy in under 2 minutes.