
Sports Betting Mcp
io.github.seang1121由 GitHub 帳號 seang1121 發布v1.0.0更新於 Oct 24, 2026
AI sports betting picks, odds, injuries & line movement. 1,353+ picks, 59.6% win rate.
概覽
讓 AI 助理取得 NBA、NHL、NCAAB 與 MLB 的運動博彩推薦、即時賠率、傷兵報告、盤口變動與模型表現資料。
- 可以做什麼
- 把 MCP 用戶端連接到運動博彩分析 API,提供約 12 個工具。工具涵蓋當日推薦與最佳推薦、待結算與已結算推薦、單場比賽的 12 代理分析、即時勝負盤/讓分/總分賠率、盤口變動與傷兵警示、依聯盟與投注類型劃分的勝率、模型統計、使用者排行榜,以及系統健康檢查。每次呼叫都回傳結構化資料,助理可據以排序、篩選或說明。
- 適用情境
- 當你希望助理抓取這四個聯盟的每日博彩推薦、賠率與市場訊號,或在採取行動前核對已公布的推薦戰績時使用。適合已經關注運動博彩、並希望在自己的 AI 用戶端內直接查看資料而非另開網站的使用者。
- 執行需求
- 以 Python 套件形式在本機執行(pip install sports-betting-mcp,需 Python 3.10+),透過 stdio 通訊,因此需要本機 Python 執行環境。需要在 SPORTS_BETTING_API_KEY 環境變數中提供 API 金鑰,金鑰向供應方網站取得。選用變數 SPORTS_BETTING_API_URL 可設定 API 基礎網址,預設指向本機位址。需要能連線至供應方的 API。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Sports Betting Mcp,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
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]
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.
Results by Sport
All results are queryable in real-time via the get_win_rate tool. Numbers update after every game.
Quick Start
Install
Add to Your MCP Client
Drop this into your MCP config (Claude Desktop, Cursor, Windsurf, Claude Code, etc.):
Environment Variables
Works With
Any client that supports the Model Context Protocol:
Available Tools
12 tools. Every call returns structured data that AI agents can reason over, display, or act on.
Picks & Analysis
Odds & Market Data
Performance & Stats
How the Analysis Works
Each game runs through a multi-agent pipeline:
- 12 specialized agents evaluate the game independently -- covering momentum, matchups, injuries, rest, travel, public betting percentages, sharp money indicators, historical trends, and more.
- A consensus engine synthesizes all 12 opinions into a single pick with a confidence score.
- Edge calculation compares the model's implied probability against the current market line.
- 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)
Pro Tier (requires approved access)
Pro Pick Payload
Every pick from /xk/full includes:
Pick Source Tracking (for learning)
When logging picks, include pick_source to track decision types:
model_agree— following the AI's pickflip— fading/betting against the AImanual_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
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License
來源:README.md,提交 e0fa825
工具
0版本歷史
1- v1.0.0最新Sep 16, 2026
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