A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB

MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API)

This project provides an MCP (Multi-Channel Pipeline) server that acts as a wrapper for the MLB Stats API. It allows you to easily access and process various MLB data points, including schedules, game results, and team information. This server is designed for efficient data retrieval and processing within an MCP framework.

MCP for Sportradars MLB API

DiamondCast Live — Real-time MLB game tracker with MCP connector to MLB Stats API. Live pitch-by-pitch updates, box scores, spray charts, and win probability. SSE-powered feed renders pitch sequence visualizations, batter/pitcher matchup cards, and live base-runner diagrams.

Autonomous AI fantasy baseball draft simulator. Two GPT-4o-mini agent teams research real MLB stats, query RAG-powered draft memory (S3 vector store), and make strategic picks via Model Context Protocol (MCP) tools. Built on AWS Lambda, RDS, API Gateway, S3, ECR, and EventBridge. Stack: OpenAI Agents SDK · FastAPI · React · TailwindCSS · Terraform.