sportsdataio_player_props
Pack: sportsdataio · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)
No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/sportsdataio_player_props for the schema, then POST the same URL with its arguments for the data.
Player prop bets for a date — available betting markets and outcomes (over/under totals, payouts) across NFL / NBA / MLB / NHL / CFB / CBB. Requires a SEPARATE SportsDataIO Odds/Props API key (the Props warehouse is billed apart from Stats/Projections). Note: a free trial key returns scrambled sample data. Example: sportsdataio_player_props({ league: “nba”, date: “2026-01-15”, _apiKey: “your-odds-key” })
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
league | string | yes | League to query. One of: ${LEAGUE_LIST}. |
date | string | yes | Slate date in YYYY-MM-DD format, e.g. “2026-01-15” |
_apiKey | string | yes | SportsDataIO Odds/Props API key (separate from the Stats key) |
Example call
Arguments
{
"league": "nba",
"date": "2026-01-15",
"_apiKey": "your-sportsdataio-api-key"
}
curl
curl -X POST https://gateway.pipeworx.io/sportsdataio/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"sportsdataio_player_props","arguments":{"league":"nba","date":"2026-01-15","_apiKey":"your-sportsdataio-api-key"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('sportsdataio_player_props', {
"league": "nba",
"date": "2026-01-15",
"_apiKey": "your-sportsdataio-api-key"
});
More examples
{
"league": "nfl",
"date": "2026-01-19",
"_apiKey": "your-sportsdataio-api-key"
}
Connect
Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:
{
"mcpServers": {
"pipeworx": {
"url": "https://pipeworx.io/mcp"
}
}
}
Connect to just the sportsdataio pack
{
"mcpServers": {
"sportsdataio": {
"url": "https://gateway.pipeworx.io/sportsdataio/mcp"
}
}
}
See Getting Started for client-specific install steps.