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
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 Desktop / claude.ai: Settings → Connectors → Add custom connector, and paste the MCP endpoint URL above.
Cursor
~/.cursor/mcp.json:
VS Code
.vscode/mcp.json:
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.
Or from a clone:
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+.
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.