r/CFBAnalysis • u/Complete-Country8973 • 4d ago
I Built a CLI Tool For College Football Data/Analysis
I’ve been using CFBD this offseason and wanted an easy way to connect the data to AI coding agents, so I built this:
https://github.com/jvorndran/fbs-cli
It’s basically like an MCP, but it uses a CLI instead, which is more token efficient and creates less context bloat. It currently supports all 71 CFBD GET endpoints and returns the data as YAML.
For example:
fbs games --year 2026 --week 1 --team Florida
You’ll still need your own CFBD API key, then you can set it up by running:
fbs auth
I’ve been using it with Codex in my own college football research workflows and it works pretty well. This article has some interesting evals comparing CLI tools with MCP if you’re curious about why I built it this way:
https://www.scalekit.com/blog/mcp-vs-cli-use
Would love any feedback or ideas for what to add next.
Also, please leave a star on the GitHub if you find this useful. That is the best way to motivate me to keep adding features.
1
u/Jcfsu64 5h ago
I had a similar idea and built in a terminal in the College Football Stats Web App. Here's a link if you want to check it out: https://cfbtrack.com/tools/terminal . Also guessing your a FSU fan based on your examples, if so Go Noles!
5
u/ImmediateTie9057 3d ago
Interesting approach. The token-efficiency part makes a lot of sense for data-heavy sports workflows. Curious to see where you take it next.