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Sports Betting MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "sports-betting-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "sports-betting-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

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.

Status Python PyPI License MCP Sports

Code
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

Terminal
pip install sports-betting-mcp

Add to Your MCP Client

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

config.json
{
  "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 β€” 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 β€” 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 β€” 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 β€” send team names, get full consensus
/xk/resultsGETResolved picks with W/L, actual scores, profit, top contributing edges
/xk/clvGETClosing Line Value analysis β€” 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 β€” 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 β€” opposing side, line, odds

Pro Pick Payload

Every pick from /xk/full includes:

config.json
{
  "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 β€” 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 β€” following the AI's pick
  • flip β€” fading/betting against the AI
  • manual_override β€” 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

Related Projects

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  • Agent Command Center -- Dashboard that auto-discovers MCP servers, agents, hooks, cron jobs, and repos

License

MIT

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Sports Betting MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "sports-betting-mcp": { "command": "npx", "args": ["-y", "sports-betting-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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