AI Agent for College Football Data
Integrate comprehensive college football statistics and real-time analytics into your workflows with the College Football Data MCP Server. Instantly access game results, team records, player stats, rankings, and win probabilities—directly within Claude Desktop. Empower your AI assistants and applications to analyze play-by-play data, compare teams, and generate deep insights, all via natural language queries.
Seamless College Football Data Access
Effortlessly retrieve college football stats, results, and analytics through intuitive natural language queries. The MCP server connects Claude Desktop to the College Football Data API, giving instant access to games, records, player stats, and advanced metrics.
- Game & Team Stats.
- Access results, team season records, and detailed statistics across all NCAA college football games.
- Advanced Analytics.
- Query play-by-play data, analyze drive summaries, and dive deep into box score breakdowns for actionable insights.
- Natural Language Queries.
- Utilize pre-built prompts to analyze games, teams, trends, and rivalries using conversational interactions.
- Flexible Integration.
- Connect directly with Claude Desktop or other MCP-compatible AI assistants for streamlined football data solutions.
Powerful Query Endpoints & Tools
Take advantage of robust API endpoints and tools to fetch, compare, and analyze college football data. Easily retrieve game, record, ranking, and win probability data, or use analysis templates for instant insights.
- Direct API Endpoints.
- Retrieve game data, team records, play stats, and rankings with dedicated endpoints tailored for football analysis.
- Pre-Built Analysis Templates.
- Use ready-made prompts for team comparisons, rivalry analysis, and season trend detection.
- Secure & Rate-Limited.
- API key authentication and rate limits to ensure secure, controlled access to college football data.
Effortless Integration & Easy Setup
Deploy the College Football Data MCP Server in minutes using Smithery or manual installation. Connect to Claude Desktop, configure with your API key, and start running queries to supercharge your football analytics workflows.
- Rapid Deployment.
- Install via Smithery or manually with Python and UV for instant access to powerful football analytics.
- Configurable Integration.
- Easily configure endpoints, API keys, and Claude Desktop connections to match your specific requirements.
MCP INTEGRATION
Available College Football Data MCP Integration Tools
The following tools are available as part of the College Football Data MCP integration:
- get-games
Retrieve game data, including scores and match details, for college football games.
- get-records
Get team records for specific seasons, providing win-loss statistics and summaries.
- get-games-teams
Access detailed team statistics for individual games, including performance breakdowns.
- get-plays
Query play-by-play data to analyze the sequence of plays within a game.
- get-drives
Analyze drive information, including results and summaries for each possession.
- get-play-stats
View individual play statistics such as yards gained, player actions, and outcomes.
- get-rankings
Check team rankings across various polls and ranking systems.
- get-pregame-win-probability
See pregame win probabilities for teams based on predictive analytics.
- get-advanced-box-score
Access detailed game statistics and advanced analytics in a box score format.
Unlock Powerful College Football Data in Claude Desktop
Seamlessly query, analyze, and compare NCAA football stats with the CFBD MCP Server. Get instant insights, advanced analytics, and historical data—all inside your AI workflow.
What is College Football Data MCP Server
The College Football Data MCP Server is a specialized implementation that provides seamless access to comprehensive college football statistics. Powered by the College Football Data API, this MCP server allows users to query and analyze data such as game results, team records, player statistics, play-by-play details, drive summaries, rankings, and win probability metrics. It is designed to integrate directly with Claude Desktop, enabling users to employ natural language queries for research, analysis, and insight generation regarding college football. The server is open-source, written in Python, and is freely available for use, leveraging a robust and community-supported data source.
Capabilities
What we can do with College Football Data MCP Server
The College Football Data MCP Server enables users to harness the full power of the College Football Data API within their workflows. Here are some of the key capabilities and use cases:
- Query game statistics
- Retrieve detailed statistics for individual games, including scores, player stats, and outcomes.
- Analyze team and player performance
- Compare team records and player metrics across seasons for research or predictive analysis.
- Access historical data
- Retrieve and analyze historical college football data for trend analysis and reporting.
- Generate advanced insights
- Utilize play-by-play data and drive summaries to generate deep insights into strategies and outcomes.
- Integrate with AI tools
- Seamlessly connect the MCP server with Claude Desktop for natural language access and automation.
What is College Football Data MCP Server
AI agents can leverage the College Football Data MCP Server to automate data retrieval, perform advanced analytics, and generate custom insights from vast college football datasets. By integrating with Claude Desktop, AI agents can answer complex queries, automate reporting, and drive research—all through natural language commands, enabling faster and smarter decision-making.