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gedin-eth

College Football MCP

by gedin-eth

College Football MCP (cfb-mcp)

A Python-based Model Context Protocol (MCP) server that provides real-time college football game information, betting odds, and historical performance data for teams and players.

Features

  • Live Game Scores & Odds: Get real-time scores and betting odds for NCAA college football games

  • Player Statistics: Retrieve last 5 games' stats for any player

  • Team Performance: Get recent game results and team information

  • Next Game Odds: Find upcoming games and their betting lines

Quick Start

Prerequisites

Installation

  1. Clone the repository:

git clone https://github.com/gedin-eth/cfb-mcp.git cd cfb-mcp
  1. Create a virtual environment:

python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
  1. Install dependencies:

pip install -r requirements.txt
  1. Set up environment variables:

cp .env.example .env # Edit .env and add your API keys

Running the Server

uvicorn src.server:app --host 0.0.0.0 --port 8000

Docker Deployment

Build the Docker image:

docker build -t cfb-mcp .

Run the container:

docker run -p 8000:8000 --env-file .env cfb-mcp

For VPS deployment, pull and run:

docker pull <your-registry>/cfb-mcp:latest docker run -d -p 8000:8000 --env-file .env --name cfb-mcp cfb-mcp

API Endpoints

The MCP server exposes the following functions:

  1. get_game_odds_and_score - Get live game scores and betting odds

  2. get_recent_player_stats - Get player's last 5 games statistics

  3. get_team_recent_results - Get team's last 5 game results

  4. get_team_info - Get team's current season overview

  5. get_next_game_odds - Get next game and odds for a team

Development

This project follows the Model Context Protocol standard for AI agent integration.

License

MIT

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security - not tested
F
license - not found
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quality - not tested

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