"ts-node" matching MCP servers:

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 LLMs to access and analyze ESPN fantasy football leagues through read-only MCP tools, covering rosters, scores, transactions, standings, lineup audits, and league-specific rules.

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.

Enables natural-language access to Chess.com's public API, exposing player, club, tournament, puzzle, and leaderboard data through tools and resources without authentication.

Enables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.

Enables searching and retrieving arbitration decisions from the Court of Arbitration for Sport (CAS/TAS) for sports law research.

Automates tennis court bookings on San Francisco Recreation websites using browser automation, with tools to check availability, initiate booking with SMS verification, and complete bookings.