lenwood_cfbd-mcp-server
1
The College Football Data MCP Server is an implementation that allows users to access detailed statistics and data about college football games, teams, and players. Integrated with the College Football Data API, it offers comprehensive querying capabilities for AI assistants and applications.
Overview
This Model Context Protocol (MCP) server enables AI assistants and applications to:
- Query comprehensive college football statistics and data
- Access game results, team records, and player statistics
- Analyze play-by-play data and drive summaries
- View rankings and win probability metrics
- Compare team performances and generate insights
Users can run queries using natural language.
Prerequisites
- Python 3.11 or higher
- UV package manager (recommended)
- A College Football Data API key
Installation
Installing via Smithery
Clone the repository, create and activate a virtual environment, and install dependencies.
Usage
Running the Server
Start the server with uv run cfbd-mcp-server. Connect it with Claude Desktop by configuring the server settings.
Features
Resources
- Access data like game information, scores, team records, and play-by-play information.
Tools
- Retrieve and analyze data using various endpoints.
API Limits
- The API is free with rate limiting. Higher rate limits are available via a Patreon subscription.
Development
- Project structure explanation and setup instructions for development.
Troubleshooting
Common Issues
- Key configuration errors, rate limiting, and connection issues solutions.
Getting Help
- Open an issue on GitHub and review available resources.