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sportsdata-mcp: live sports data and cross-book odds

Analysts and content teams who track sports markets and need odds and results in one place.

  • Recommendedour rating
  • 27gitHub stars
  • MITlicence
  • 12 days agolast update
claude mcp add sportsdata-mcp -- uvx sportsdata-mcp serve '#' or: pip install sportsdata-mcp
README.md

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What it does

An MCP server with about 856 tools across 65 providers for live sports data. It covers odds from bookmakers such as Betfair, Pinnacle and FanDuel, league feeds, racing data, and prediction markets such as Kalshi and Polymarket. An AI client can compare prices across bookmakers, and the server starts with uvx sportsdata-mcp serve.

Use cases

  1. 01Compare odds for one event across several bookmakers
  2. 02Add league results and live scores to a report
  3. 03Track prediction market prices for a sporting event

Questions about
sportsdata-mcp: live sports data and cross-book odds.

What is sportsdata-mcp: live sports data and cross-book odds used for?

Analysts and content teams who track sports markets and need odds and results in one place. An MCP server with about 856 tools across 65 providers for live sports data. It covers odds from bookmakers such as Betfair, Pinnacle and FanDuel, league feeds, racing data, and prediction markets such as Kalshi and Polymarket. An AI client can compare prices across bookmakers, and the server starts with uvx sportsdata-mcp serve.

How do I install sportsdata-mcp: live sports data and cross-book odds?

Run this in your terminal: claude mcp add sportsdata-mcp -- uvx sportsdata-mcp serve '#' or: pip install sportsdata-mcp

Is sportsdata-mcp: live sports data and cross-book odds open source?

Yes. The code is on GitHub (DanielTomaro13/sportsdata-mcp) under the MIT licence.

Is sportsdata-mcp: live sports data and cross-book odds safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.