This workflow transforms the College Football Data API into a MCP-compatible interface for AI agents, enabling seamless access to extensive college football data. It acts as a backend server that listens for AI requests via a webhook and routes them to the appropriate API endpoints, automatically populating query parameters through AI expressions. Key nodes include an MCP trigger for webhook listening, multiple HTTP Request nodes for various data endpoints (such as games, players, rankings, teams, betting, and metrics), and configuration for authentication. The workflow supports over 50 API services, allowing users to retrieve game scores, player stats, team info, rankings, draft data, and more. This setup is ideal for integrating college football data into AI-powered applications, dashboards, or predictive models with minimal manual API handling.
College Football Data API as an n8n MCP Server
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.mcpTrigger, httpRequestTool, stickyNote |
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