An MCP server that gives AI agents expert-level sports trading card data. Covers pricing, market analysis, arbitrage detection, grading ROI
If you already use Sports Card Agent, the sports card agent mcp server is the piece that lets your assistant work with it directly. 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.
Configuration is passed through the environment: EBAY_APP_ID, EBAY_CERT_ID, BALLDONTLIE_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
The server ships on PyPI as sports-card-agent, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by rjexile; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Sports Card Agent's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"sports-card-agent": {
"command": "sports-card-agent"
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| EBAY_APP_ID | Configuration value read at startup. | Optional |
| EBAY_CERT_ID | Configuration value read at startup. | Optional |
| BALLDONTLIE_API_KEY | Credential the server authenticates with. | Yes |
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