"Amazon Fire TV" matching MCP servers:

Enables any MCP-capable assistant to provide a voice-first evening briefing, fetching current weather, live sports scores, and tonight's TV schedule from keyless public APIs.

Enables households to run a free, voice-driven play-along game during live sports: it detects big moments in a game feed, opens a short call window, resolves plays, and scores each player's predictions with underdog bonuses and streak multipliers. Also manages players, game-night sessions, recaps, and a persistent family season leaderboard rendered as an MCP Apps board on Echo Show and Fire TV.

A Model Context Protocol server for TrainingPeaks with an analytics focus — enabling real-time querying of training data, performance trends, CTL/ATL/TSB analysis, and training load optimization through Claude Desktop.

Enables interaction with Intervals.icu data, including activities, wellness, and calendar events, via natural language.

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 access to live NHL game data, player and team statistics, standings, schedules, playoff brackets, and historical comparisons through natural language queries using the official NHL API.

Grades sports bets against thousands of play-by-play simulations, reporting simulated probability, implied probability, and edge.