FAQ
Q: What is the College Football Data MCP Server?
A: The College Football Data MCP Server is a system that provides access to college football statistics through the College Football Data API, integrated within Claude Desktop.
Q: How can I use the MCP Server?
A: You can use the MCP Server to query comprehensive college football data, analyze play-by-play information, view team records, and compare team performances using natural language queries.
Q: What are the prerequisites for using the MCP Server?
A: You need Python 3.11 or higher, the UV package manager, and a College Football Data API key to use the MCP Server.
Q: Can I install the MCP Server manually?
A: Yes, you can manually install the MCP Server by cloning the repository, setting up a virtual environment, installing dependencies, and configuring your API key.
Q: What is the UBOS Platform?
A: UBOS is a full-stack AI Agent Development Platform that focuses on integrating AI Agents into business operations, connecting them with enterprise data, and building custom AI Agents using LLM models.
College Football Data Server
Project Details
- lenwood/cfbd-mcp-server
- MIT License
- Last Updated: 3/31/2025
Recomended MCP Servers
Official Vectorize MCP Server
A Model Control Protocol (MCP) server that allows Claude to communicate with locally running LLM models via LM...
Model Context Protocol (MCP) Server for reading from Google Drive and editing Google Sheets
Build a knowledge base into a tar.gz and give it to this MCP server, and it is ready...
A simple and clear example for implementation and understanding Anthropic MCP (on AWS Bedrock).
MCP to explore websites with llms.txt files
macOS defaults - Model Context Protocol server
MCP server for JADX-AI Plugin





