Open-source sports data MCP server

Open-Source Sports Data MCP Server

This repository provides a free, open-source MCP server designed to aggregate and serve sports data from a wide array of sources. It's built for developers looking to integrate comprehensive sports information into their applications, offering access to real-time betting odds, official league statistics, and fantasy sports data. The project leverages the MCP protocol for efficient data exchange, making it a valuable resource for building sophisticated sports-related AI tools and services.

What it Does

The sportsdata-mcp server acts as a central hub for sports data. It connects to 28 different data providers, consolidating information such as live game scores, historical statistics, player performance metrics, and betting markets. Developers can query this server using the MCP protocol to retrieve specific data points, enabling them to build applications that require up-to-the-minute sports insights. This includes, but is not limited to, predictive modeling, automated betting strategies, and personalized fantasy sports management tools.

Key Features

• Comprehensive Data Coverage: Access to data from 28 distinct sports data providers.
• Diverse Data Types: Includes betting odds, official league statistics, and fantasy sports data.
• MCP Protocol Compliant: Designed for efficient and standardized data retrieval.
• Open-Source and Free: No licensing costs, allowing for unrestricted development and deployment.
• Developer-Focused: Built with the needs of AI builders and software engineers in mind.

Who it's For

This tool is specifically targeted at AI developers , data scientists , and software engineers working on projects within the sports domain. If you are building applications that require real-time sports data for analysis, prediction, or integration into platforms like fantasy sports or betting services, this MCP server offers a robust and cost-effective solution. It's ideal for individuals and teams looking to quickly establish a reliable data pipeline for their sports-related AI initiatives.