ESPN

About

The ESPN tool acts as a robust Model Context Protocol (MCP) server, designed to unlock and centralize access to ESPN's extensive, often hidden, sports APIs. Built with TypeScript, it offers a production-ready solution for developers and AI agents needing real-time and historical sports data across a multitude of leagues including NFL, NBA, MLB, NHL, and various college sports. With features like advanced parameter support, multi-transport options (STDIO and HTTP), smart routing, and dynamic resources, it streamlines the process of integrating rich sports content into applications or for analytical purposes.

Key Features

• Extensive coverage of major sports leagues and college sports
• Smart routing for automatic endpoint selection based on sport/league combinations
• Multi-transport support for STDIO and HTTP streaming with MCP compliance
• 0 GitHub stars
• Comprehensive access to 20+ hidden ESPN API endpoints
• Advanced parameter support for detailed data filtering (dates, weeks, season types)

Use Cases

• Integrating real-time and historical sports data into MCP-compatible AI clients and agents.
• Developing web applications requiring ESPN scores, team information, and news via a structured API.
• Powering AI-driven sports analysis, predictions, and head-to-head comparisons for various leagues.