MCP Servers for Sports

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

Football bets mcp

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Provides AI-powered sports analytics for Daily Fantasy Sports (DFS) with real-time player projections, lineup optimization, live odds aggregation from multiple sportsbooks, and SHAP-based explainability to understand recommendation reasoning.

The Blue Alliance MCP server using its API for FIRST Robotics Competition data. Retrieve comprehensive FRC team, event, and match information.

An MCP server for fetching cricket data from Cricbuzz, including player statistics, live match scores, upcoming schedules, and the latest news.

A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.

An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.

Provides Formula One data and statistics through a Model Context Protocol interface, allowing users to access race calendars, session results, driver statistics, telemetry data, and championship standings.