Sports Odds API (BetRivers, Unibet & 22 more books)

io.github.GeminiGeorge22由 GitHub 帳號 GeminiGeorge22 發布v1.0.2更新於 Nov 4, 2026

一次呼叫即可取得24家由Kambi提供支援的體育博彩公司的即時賠率,並給出每個結果的最佳價格。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Live odds from 24 Kambi-powered sportsbooks in one call, with the best price per outcome.

已驗證Streamable HTTP可網頁執行金融

概覽

Sports Odds API (BetRivers, Unibet & 22 more books) 的託管 MCP 服務(mcp.apify.com);需要 OAuth 登入或 API 金鑰;Streamable HTTP;1 個工具。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

端點
mcp.apify.com
最近檢查

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Sports Odds API (BetRivers, Unibet & 22 more books),將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.GeminiGeorge22%2Fsports-odds-api/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "sports-odds-api-betrivers-unibet-22-more": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=publicrecords/sports-odds-api"
    }
  }
}

README

Sports Odds API (BetRivers, Unibet & 22 more books)

Languages: English · 简体中文 · 日本語 · 한국어 · Español · Português (Brasil) · Deutsch · Français · Русский · Türkçe

Live odds from 24 Kambi-powered sportsbooks in one call — BetRivers (12 US states + Ontario), Unibet, Paf, Svenska Spel, ATG. One row per game with every book's price and the best price per outcome. Pay per call, no subscription.

MCP endpoint

https://mcp.apify.com?tools=publicrecords/sports-odds-api

Transport: Streamable HTTP (hosted by Apify, see https://docs.apify.com/mcp).

Auth

Sign in with Apify OAuth when your client prompts you, or send the header Authorization: Bearer <APIFY_TOKEN> where <APIFY_TOKEN> is your own Apify API token. Never commit a real token.

Client setup

Claude

Claude Code:

claude mcp add --transport http sports-odds "https://mcp.apify.com?tools=publicrecords/sports-odds-api"

Claude Desktop / claude.ai: Settings → Connectors → Add custom connector, and paste the MCP endpoint URL above.

Cursor

~/.cursor/mcp.json:

json
{  "mcpServers": {    "sports-odds": {      "url": "https://mcp.apify.com?tools=publicrecords/sports-odds-api"    }  }}

VS Code

.vscode/mcp.json:

json
{  "servers": {    "sports-odds": {      "type": "http",      "url": "https://mcp.apify.com?tools=publicrecords/sports-odds-api"    }  }}

To use a token instead of OAuth, add "headers": { "Authorization": "Bearer <APIFY_TOKEN>" } next to "url".


Disclosure: I maintain this Actor.

Local stdio server (open source)

This repo also ships a small MCP server in src/ for clients that only run local stdio servers. It answers initialize and tools/list locally from tools.json, which is generated from each Actor's public input schema and checked for drift in CI and weekly, so any client or directory can inspect the tools with no token. tools/call is forwarded to the hosted Apify MCP endpoint above with your own APIFY_TOKEN; without a token a call returns a clear error instead of running anything. The token is only sent in the Authorization header and is never logged.

json
{  "mcpServers": {    "sports-odds": {      "command": "npx",      "args": ["-y", "github:GeminiGeorge22/sports-odds-mcp"],      "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }    }  }}

Or from a clone:

bash
git clone https://github.com/GeminiGeorge22/sports-odds-mcp.gitcd sports-odds-mcp && npm installAPIFY_TOKEN=YOUR_APIFY_TOKEN node src/server.js

Optional env: APIFY_ACTORS (comma-separated subset of the Actors above) and APIFY_MCP_URL (full endpoint override).

Tests run against an in-memory mock server, with no network and no token: npm test. Requires Node.js 18+.

Python (uvx/pip)

A matching Python version of this server lives in python/, built on the official mcp Python SDK: same tools, same APIFY_TOKEN, same hosted endpoint. Requires Python 3.10+.

json
{  "mcpServers": {    "sports-odds": {      "command": "uvx",      "args": ["sports-odds-mcp"],      "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }    }  }}

Or with pip: pip install sports-odds-mcp, then run sports-odds-mcp. Python tests: cd python && pip install -e ".[test]" && env -u APIFY_TOKEN python -m pytest.

See also

  • Awesome Sports Odds MCP: a curated list of sports odds MCP servers, one provider per sportsbook.
  • ecommerce-search-rankings-mcp: E-commerce search results and product rankings across Amazon, eBay, Walmart, Google Shopping, AliExpress, Shopify and Etsy.
  • ecommerce-sales-mcp: E-commerce sales signals: Amazon bestsellers and reviews, eBay sold prices, TikTok Shop and Etsy shop sales.
  • forecast-accuracy-mcp: Forecast accuracy and track records: forecasts vs actuals, earnings beats, prediction markets, archived pages and news.
  • sports-betting-stats-mcp: Sports betting odds and stats: sportsbook odds, player props, scores, xG, closing lines, horse racing.
  • etsy-sales-mcp: Etsy search results and Etsy shop sales counters.
  • ats-jobs-mcp: New job postings from Greenhouse, Lever, Ashby and SmartRecruiters.
  • gov-tenders-mcp: Government tenders, grants, awards and council meetings.

來源:README.md,提交 baaebbd

工具

1

publicrecords--sports-odds-api

Sports Odds API: BetRivers, Unibet, Paf, Svenska Spel, ATG

Sports Odds API: BetRivers, Unibet, Paf, Svenska Spel, ATG. Live odds from 24 Kambi-powered sportsbooks in one call: BetRivers (12 US states + Ontario), Unibet (7 countries), Paf, Svenska Spel and ATG. One row per game with every book's price and the best price per outcome. When to use: Use when you need current pre-match or live prices for a game or league from Kambi-powered books (BetRivers, Unibet, Paf, Svenska Spel, ATG) and want to compare books or find the best price per outcome. Not for DraftKings/FanDuel or historical odds. Returns: the run's dataset rows as structured JSON (one row per result), plus the run and dataset IDs for paging the full dataset. Behavior: starts one run of the Apify Actor "publicrecords/sports-odds-api" through Apify's hosted MCP gateway (mcp.apify.com) with your own APIFY_TOKEN; the run uses your Apify account. Read-only: it only reads public web data and changes nothing on the source site. Docs: https://apify.com/publicrecords/sports-odds-api

輸入參數leaguesmarketsmaxEventsoperatorsincludeLivestartsWithinHoursproxyConfiguration

版本歷史

3
  1. v1.0.2最新Nov 4, 2026
  2. v1.0.1Oct 24, 2026
  3. v1.0.0Oct 23, 2026

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