io.github.seang1121/sports-betting-mcp

Official registry Games, sports and entertainment

AI sports betting picks, odds, injuries & line movement. 1,353+ picks, 59.6% win rate.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package sports-betting-mcp
Claude Code
claude mcp add sports-betting-mcp -e 'SPORTS_BETTING_API_URL=<SPORTS_BETTING_API_URL>' -e 'SPORTS_BETTING_API_KEY=<SPORTS_BETTING_API_KEY>' -- uvx sports-betting-mcp==1.0.0
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "sports-betting-mcp": {
            "command": "uvx",
            "args": [
                "sports-betting-mcp==1.0.0"
            ],
            "env": {
                "SPORTS_BETTING_API_URL": "<SPORTS_BETTING_API_URL>",
                "SPORTS_BETTING_API_KEY": "<SPORTS_BETTING_API_KEY>"
            }
        }
    }
}

Environment variables

  • SPORTS_BETTING_API_URL URL of the Sports Betting Analyzer API (default: http://localhost:5000)
  • SPORTS_BETTING_API_KEY Your API key from sportsbettingaianalyzer.com/account/api-keys

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. sports-betting-mcp
  2. What It Does
  3. Quick Start
  4. Works With
  5. Available Tools
  6. How the Analysis Works
  7. Full API — 22 Endpoints
  8. API Authentication
  9. Tech Stack
  10. Related Projects
  11. License

sports-betting-mcp

The first MCP server for sports betting. Give any AI agent live access to picks, odds, game analysis, and performance tracking across NBA, NHL, NCAAB, and MLB.

mcp-name: io.github.seang1121/sports-betting-mcp

What It Does

Connects any MCP-compatible AI agent to a live sports betting analysis system. Every pick is logged before tip-off and resolved against final scores. Nothing is cherry-picked.

MetricValue
Sports CoveredNBA, NHL, NCAAB, MLB
Bet TypesMoneyline, Spread, Totals
Pick Source12-agent consensus model
Total Picks3,859+ resolved
Platform Users30
Tools12 MCP tools
AuthAPI key (X-API-Key header)
Results by Sport
SportPicksWinsWin Rate
NBA1,26776260.1%
NHL1,14865657.1%
NCAAB1,14954947.8%
MLB28310938.5% (launched Apr 2026)

All results are queryable in real-time via the get_win_rate tool. Numbers update after every game.


Quick Start

Install
pip install sports-betting-mcp
Add to Your MCP Client

Drop this into your MCP config (Claude Desktop, Cursor, Windsurf, Claude Code, etc.):

{
  "mcpServers": {
    "sports-betting": {
      "command": "sports-betting-mcp",
      "env": {
        "SPORTS_BETTING_API_URL": "https://sportsbettingaianalyzer.com",
        "SPORTS_BETTING_API_KEY": "your_api_key"
      }
    }
  }
}
Environment Variables
VariableRequiredDescription
SPORTS_BETTING_API_KEYYesYour API key for authentication
SPORTS_BETTING_API_URLNoAPI base URL (defaults to http://localhost:5000)

Works With

Any client that supports the Model Context Protocol:

ClientStatus
Claude DesktopFully supported
CursorFully supported
WindsurfFully supported
Claude Code (CLI)Fully supported
Any MCP ClientFully supported via stdio transport

Available Tools

12 tools. Every call returns structured data that AI agents can reason over, display, or act on.

Picks & Analysis
ToolWhat It Does
get_todays_picksAll AI picks with confidence scores and edge breakdowns, filterable by sport
get_top_pickSingle highest-confidence pick of the day
get_pending_picksCurrently unresolved picks that are still in play
get_completed_picksRecently resolved picks with W/L results -- verify the track record
analyze_gameFull 12-agent analysis on any game: consensus pick + edge breakdown
Odds & Market Data
ToolWhat It Does
get_live_oddsLive moneyline, spread, and totals for today's games
get_alertsActive alerts from the multi-agent system (line moves, injury impacts)
Performance & Stats
ToolWhat It Does
get_win_rateWin rate with breakdown by sport and bet type
get_model_statsModel performance: total picks, last-20 win rate, confidence tier breakdown
get_leaderboardUser rankings by win rate
get_system_statusHealth check -- uptime, database, scheduler status

How the Analysis Works

Each game runs through a multi-agent pipeline:

  1. 12 specialized agents evaluate the game independently -- covering momentum, matchups, injuries, rest, travel, public betting percentages, sharp money indicators, historical trends, and more.
  2. A consensus engine synthesizes all 12 opinions into a single pick with a confidence score.
  3. Edge calculation compares the model's implied probability against the current market line.
  4. Picks are logged before tip-off and resolved against final scores. No retroactive edits.

The confidence score and edge breakdown are included in every pick response, so your AI agent can filter, rank, or explain the reasoning behind any recommendation.


Full API — 22 Endpoints

The API has two tiers: Free (any API key) and Pro (approved access).

Free Tier (available to all API key holders)
EndpointMethodWhat It Does
/xk/pGETToday's AI picks with confidence scores
/xk/o/{sport}GETLive odds from FanDuel/BetMGM
/xk/wGETWin rate breakdown by sport and bet type
/xk/iGETActive injury report from Covers.com
/xk/mGETSignificant line movement (sharp money signals)
/xk/gamesGETToday's full schedule with odds snapshot and AI pick flags
/xk/statsGETModel performance by sport, bet type, confidence tier
/xk/lbGETLeaderboard — AI vs human win rates
/xk/newsGETSports news feed from RSS sources
/xk/qGETCurrently pending (unresolved) picks
Pro Tier (requires approved access)
EndpointMethodWhat It Does
/xk/fullGETFull structured picks — complete edge breakdowns, positive/negative edges, reasoning, scorecard, opposing side with odds, line movement, quality flags
/xk/analyzePOSTOn-demand 12-agent analysis for any game — send team names, get full consensus
/xk/resultsGETResolved picks with W/L, actual scores, profit, top contributing edges
/xk/clvGETClosing Line Value analysis — did the line move in our favor?
/xk/searchGETSearch all picks by team name with W/L record
/xk/logPOSTLog a pick (supports flip flag, pick source tracking)
/xk/log/batchPOSTBatch log up to 20 picks with per-pick success/duplicate/error status
/xk/historyGETYour pick history — pending, resolved, win rate
/xk/slipPOSTGenerate Nimrod bet slip image
/xk/webhookPOST/GET/DELETERegister webhooks for pick events
/xk/fullGETIncludes fade/flip data for every pick — opposing side, line, odds
Pro Pick Payload

Every pick from /xk/full includes:

{
  "ai_pick": "Lakers -5.5",
  "ai_verdict": "STRONG BET",
  "ai_probability": "65%",
  "ai_reasoning": "Lakers defense ranks top 5, opponent on B2B...",
  "edges": [13 individual edge factors],
  "top_edges": [top 5 positive],
  "negative_edges": [top 3 negative],
  "scorecard": [3 model scores],
  "fade_pick": "Celtics +5.5",
  "fade_team": "Celtics",
  "fade_odds": "+105",
  "fade_note": "Betting AGAINST the AI — take Celtics +5.5",
  "line_moved": true,
  "flags": ["line_moved"],
  "data_quality": "good"
}
Pick Source Tracking (for learning)

When logging picks, include pick_source to track decision types:

  • model_agree — following the AI's pick
  • flip — fading/betting against the AI
  • manual_override — custom pick

This enables win rate comparison between model-agree vs flip picks over time.


API Authentication

Authenticate with X-API-Key header. Get a free key at sportsbettingaianalyzer.com. Pro access requires admin approval.


Tech Stack

ComponentTechnology
RuntimePython 3.10+
ProtocolMCP (Model Context Protocol)
Transportstdio
BuildHatchling
DistributionPyPI (sports-betting-mcp)
BackendFlask + SQLite
Analysis12-agent consensus pipeline
SportsNBA, NHL, NCAAB, MLB

License

MIT

Frequently asked questions

What is io.github.seang1121/sports-betting-mcp?

AI sports betting picks, odds, injuries & line movement. 1,353+ picks, 59.6% win rate.

How do I install io.github.seang1121/sports-betting-mcp?

It runs on your machine. In Claude Code: claude mcp add sports-betting-mcp -e 'SPORTS_BETTING_API_URL=<SPORTS_BETTING_API_URL>' -e 'SPORTS_BETTING_API_KEY=<SPORTS_BETTING_API_KEY>' -- uvx sports-betting-mcp==1.0.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.seang1121/sports-betting-mcp need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.seang1121/sports-betting-mcp open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.seang1121/sports-betting-mcp?

It is published by seang1121. AI.tn lists it but does not maintain or endorse it.

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