"TP-Link" matching MCP servers:

Enables MCP-capable assistants to perform post-match Valorant analysis by inspecting stats, reviewing rounds and deaths, rendering tactical maps, and finding community lineups from a Riot ID or match link.

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.

Enables searching routes and areas on Mountain Project, applying route-finder filters, and querying personal tick lists live.

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.