Summary
Card decisions with the numbers already assembled.
Pricing, the player's season and the grading maths are the three inputs to any card decision, and here they arrive together — a recommendation is one call rather than three tabs and a spreadsheet. Vintage gets its own treatment, because a vintage card is not priced the way a modern rookie is.
What it is
An MCP server for sports trading card research. Nine tools cover eBay pricing, market and arbitrage analysis, grading economics, NBA, NFL and MLB player stats, and vintage sets from T206 through Playoff Contenders.
What you get
- Sold and active eBay prices for any sport, brand, year or grade
- Sold-versus-asking trend analysis, flagging cards listed below market value
- Grading ROI for PSA, BGS and SGC — raw against graded, adjusted for fees
- Buy, sell or hold recommendations combining market trend with player performance
- Player stats across NBA, NFL and MLB, with the card-market read alongside them
- NBA players whose breakout performances are pushing card values up
- Era-specific analysis for vintage cards across the older sets, priced by grade
Requirements
Python — pip install sports-card-agent. It runs on mock data out of the box, and free eBay and Ball Don't Lie API keys switch it to live data.
Setup effort
One command — pip install sports-card-agent