Sports card pricing, market analysis, grading ROI, and player stats (NBA/NFL/MLB)
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Sports Card Agent.
card_price_lookupReal-time sold and active prices from eBay. Supports any sport, brand, year, or grading.
card_market_analysisTrend analysis comparing sold vs asking prices. Detects arbitrage opportunities where cards are listed below market value.
player_stats_lookupMulti-sport player stats (NBA/NFL/MLB) with card market insights based on performance.
nfl_stats_lookupNFL passing, rushing, receiving, and defensive stats with card market insights.
mlb_stats_lookupMLB batting (AVG, HR, RBI, OPS) and pitching (ERA, K, WHIP) stats with card insights.
grading_roi_calculatorCalculates whether grading a card is profitable. Compares raw vs graded prices for PSA, BGS, and SGC with fee-adjusted ROI.
An MCP server that gives AI agents expert-level sports trading card data. Covers pricing, market analysis, arbitrage detection, grading ROI, investment advice, player stats (NBA/NFL/MLB), vintage card analysis, and trending player alerts.
9 tools. 3 sports. 40+ vintage sets. Zero manual research.
| Tool | Description |
|---|---|
card_price_lookup | Real-time sold and active prices from eBay. Supports any sport, brand, year, or grading. |
card_market_analysis | Trend analysis comparing sold vs asking prices. Detects arbitrage opportunities where cards are listed below market value. |
| Tool | Description |
|---|---|
player_stats_lookup | Multi-sport player stats (NBA/NFL/MLB) with card market insights based on performance. |
nfl_stats_lookup | NFL passing, rushing, receiving, and defensive stats with card market insights. |
mlb_stats_lookup | MLB batting (AVG, HR, RBI, OPS) and pitching (ERA, K, WHIP) stats with card insights. |
| Tool | Description |
|---|---|
grading_roi_calculator | Calculates whether grading a card is profitable. Compares raw vs graded prices for PSA, BGS, and SGC with fee-adjusted ROI. |
card_investment_advisor | Buy/sell/hold recommendations combining market trends with player performance data across all 3 sports. |
trending_players | Identifies NBA players with breakout performances whose cards are likely rising in value. |
vintage_card_analysis | Era-specific analysis for pre-2000 cards. Covers 40+ iconic sets from 1909 T206 to 2000 Playoff Contenders with grade-based pricing. |
Add to your claude_desktop_config.json:
Add to your .mcp.json:
Create a .env file or set environment variables:
The server works without API keys using mock data, so you can try it immediately.
Once connected, any AI agent can ask:
Sports: Baseball, Basketball, Football, Hockey, Soccer
Player Stats: NBA (all teams), NFL (all positions), MLB (batting + pitching)
Vintage Sets Include: 1909 T206, 1933 Goudey, 1951 Bowman, 1952 Topps, 1954-55 Topps, 1958 Topps Football, 1961 Fleer Basketball, 1965 Topps Football, 1966 Topps Hockey, 1969 Topps, 1979 O-Pee-Chee, 1981 Topps Football, 1984 Topps Football, 1986 Fleer Basketball, 1986 Donruss, 1989 Upper Deck, 1993 SP, 1996 Topps Chrome, 1997 Metal Universe, 2000 Playoff Contenders, and more.
Grading Companies: PSA, BGS, SGC (all service tiers with current pricing)
MIT
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