NBA Prop Lab
NBA and WNBA player-prop analytics: daily board, graded track record, matchup and referee data.
Should I use this
Quality & Safety
Findings (2)
- LOWTool 'nba_today' description lacks action verbin nba_today
- LOWTool 'games' description lacks action verbin games
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"proplab": {
"url": "https://nbaproplab.com/mcp"
}
}
}Remote endpoints
https://nbaproplab.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (10)
🟢daily_board(league)
The published NBA or WNBA player-prop board for the next slate (player, stat, line, direction, tier, model score) and how the last settled board did (hits, misses, voids). Informational analysis, not betting advice.
Input Schema
{
"type": "object",
"properties": {
"league": {
"description": "League: \"nba\" or \"wnba\".",
"type": "string",
"default": "nba"
}
}
}🟢track_record(league, tier, from, to)
Settled record of the model's picks with optional filters. Reading it: the overall*/total* fields count every pick the engine evaluated, including Weak ratings that are never published; the published record is the PREMIUM tier (premiumHitRate, goodPicks) and STANDARD (marginalPicks). Dates before 2026-04-03 are a backtest; use from=2026-04-03 for live picks only.
Input Schema
{
"type": "object",
"properties": {
"league": {
"description": "Optional league: \"nba\" or \"wnba\".",
"type": [
"string",
"null"
],
"default": null
},
"tier": {
"description": "Optional tier: \"Premium\" or \"Standard\".",
"type": [
"string",
"null"
],
"default": null
},
"from": {
"description": "Optional start date, yyyy-MM-dd.",
"type": [
"string",
"null"
],
"default": null
},
"to": {
"description": "Optional end date, yyyy-MM-dd.",
"type": [
"string",
"null"
],
"default": null
}
}
}🟢defense_vs_position(league)
How many points, rebounds and assists each team allows to guards, forwards and centers relative to the league average, with defensive rating, opponent pace and ranks.
Input Schema
{
"type": "object",
"properties": {
"league": {
"description": "League: \"nba\" or \"wnba\".",
"type": "string",
"default": "nba"
}
}
}🟢usage_leaders(league)
Players ranked by usage rate this season, with last-10-games usage, minutes and points.
Input Schema
{
"type": "object",
"properties": {
"league": {
"description": "League: \"nba\" or \"wnba\".",
"type": "string",
"default": "nba"
}
}
}🟢referee_assignments_today
Officiating crew of each NBA game today (published by the league the morning of game day) with each referee's fouls per game.
Input Schema
{
"type": "object",
"properties": {}
}🟢referees
All NBA referees this season with games worked, fouls per game and fouls above the league average.
Input Schema
{
"type": "object",
"properties": {}
}🟢nba_today
Today's NBA games with tip-off times, yesterday's final scores and the current standings by conference.
Input Schema
{
"type": "object",
"properties": {}
}🟢games(date)
NBA and WNBA games on a date (defaults to today, US Eastern).
Input Schema
{
"type": "object",
"properties": {
"date": {
"description": "Optional date, yyyy-MM-dd.",
"type": [
"string",
"null"
],
"default": null
}
}
}🟢search_players(query)
Find NBA and WNBA players by name; returns their ids for player_research.
Input Schema
{
"type": "object",
"properties": {
"query": {
"description": "Player name or part of it (2-50 characters).",
"type": "string"
}
},
"required": [
"query"
]
}🟢player_research(playerId)
A player's recent game logs, today's prop lines across books with hit rates, injury status, next game context and the model's picks on that player.
Input Schema
{
"type": "object",
"properties": {
"playerId": {
"description": "Player id from search_players.",
"type": "integer"
}
},
"required": [
"playerId"
]
}Community
Evidence