Sportsdata Mcp

Name: Sportsdata Mcp
Author: DanielTomaro13

@DanielTomaro13

Sportsdata Mcp について

Open-sourced sportsdata-mcp (MIT): ~500 tools / 28 providers — live cross-book betting odds (AU books + Pinnacle + Betfair), official league stats (AFL/NRL/NBA/MLB/EPL/…), racing, Kalshi/Polymarket. Zero-config: uvx sportsdata-mcp serve, or the setup command writes your Claude De

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

DanielTomaro13

投稿者

Daniel Tomaro

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "sportsdata": {
      "command": "uvx",
      "args": [
        "sportsdata-mcp",
        "serve"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Sportsdata Mcp?

Sportsdata Mcp is a free and open-source (MIT) Model Context Protocol server that exposes live sports data and cross-book betting odds as MCP tools. It provides ~500 tools across 28 providers (bookmakers, league feeds, aggregators) and uses a capability-tag system so that tools from different providers are interchangeable for the same question. It is designed for use in Claude Desktop, Cursor, or any MCP client.

How to use Sportsdata Mcp?

Install via uvx sportsdata-mcp serve or pip install sportsdata-mcp. A prebuilt app for macOS and Windows is also available. After installation, run sportsdata-mcp setup to configure the client, then enable desired tool groups using a YAML config file or the SPORTSDATA_MCP_GROUPS environment variable. Start the server with sportsdata-mcp serve.

Key features of Sportsdata Mcp

~500 tools across 28 sports and betting data providers
Capability-tag system for interchangeable tool discovery
Zero-config install with optional group selection
OTA signed spec updates with Ed25519 verification
Meta-tools always available for group and capability listing
Optional response-size cap to guard context window

Use cases of Sportsdata Mcp

Compare betting odds across multiple bookmakers (e.g., Sportsbet, Entain, Pinnacle)
Fetch live match statistics and fantasy data for analysis
Build automated sports data pipelines for research or content
Explore and compose tools from different providers with one discovery call