"How to remotely connect to an MCP running on a Raspberry Pi" matching MCP servers:

Provides comprehensive running performance calculations including VDOT, training paces, race time predictions, velocity markers, and heart rate zones using Jack Daniels, Greg McMillan, and Riegel methodologies.

Connects AI agents to Garmin Connect so they can read fitness data (activities, sleep, steps, heart rate, weight, workouts, profile) and schedule or manage Garmin Calendar workouts with an explicit confirmation flow.

Enables listing, creating, editing, deleting, and scheduling structured workouts (run, cycle, swim, triathlon) on Garmin Connect 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.

MCP server for analyzing running data from Intervals.icu, offering tools for athlete profiles, activity details, fitness trends, and running summaries.

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

Enables AI assistants to read a Comunio fantasy football league's squad, market, offers, standings, and transfers, and to act on the user's behalf by bidding, selling, and setting the lineup.

An MCP server for ECNL and ECRL youth soccer, providing schedules, standings, and RPI for both boys and girls.

An MCP server that lets Claude plan cycling training in intervals.icu, upload workouts to the calendar, and review planned versus actual outcomes, fitness trends, and power curves.

MCP server that connects AI assistants to the Statos football analytics platform, enabling natural language queries for match predictions, betting picks, league information, and admin market-suppression controls.

A read-only MCP server that provides access to the public Basketball Vlaanderen (VBL) API, enabling users to query clubs, teams, matches, standings, and more.

Enables AI assistants to read your Strava training data and answer plain-language questions about activities, splits, and totals across sports like running, skiing, and hiking.

A local MCP server that gives Claude (or any MCP-compatible AI client) access to Formula 1 race data. Load any session from 2018 onwards, ask questions in natural language, and get answers backed by real telemetry, timing, and strategy data.

MCP server that gives Claude programmatic access to a local En Croissant chess opening trainer, enabling conversational opening prep by reading its SQLite database, PGN files, and Lichess API. It supports repertoire review, due cards, and opponent statistics directly from chat.

Provides access to the r.ttw.ru table tennis rating site, enabling searches for players, matches, head-to-head encounters, and tournaments via MCP tools.

MCP server for Myers Park High School athletics, providing public access to schedules, teams, rosters, coaches, news, and game broadcast links.

Enables MCP clients to discover tournaments, inspect events, entrants, sets, standings, and streams for any game on start.gg using natural language.

MCP server for MaxPreps that reads US high school team schedules, scores, records, rosters, stat leaders, and athlete careers without needing an account or API key.

Free MCP server for the World Cup 2026 Tour public schedule API. It enables AI assistants to fetch the 2026 FIFA World Cup schedule, next match, match by ID, and dataset JSON-LD without an API key.

MCP server that connects Claude or any MCP-capable LLM to your Garmin golf data, enabling natural-language queries on rounds, shots, strokes gained, club distances, course intel, and health-performance correlations from a private local DuckDB cache.