"How to run desktop commands on a computer" matching MCP servers:

An MCP server that pulls your Strava data and gives you a run recommendation from Claude, rendered as a dashboard.

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 Claude Code and Claude Desktop with safe, read-only access to your local Garmin training data, readiness decisions, run details, and trends so you can get coaching advice in natural language.

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

Enables users to ask ChatGPT or Claude where a runner or cyclist is in a live race, how the race is going, and what the weather along the course will be, returning live maps and 3D route flyovers inline in the chat. Also surfaces cycling tour day-by-day routes, GPX links and organiser notes, all read-only and free.

Enables GrokBot users to read their own Strava data from a self-hosted stdio server, querying activities with filters, laps, zones, and streams, viewing athlete profiles and stats, exploring segments and leaderboards, listing routes, exporting GPX/TCX, and analyzing or comparing training. It is read-only, using OAuth tokens stored locally on the user's cloud computer with scopes limited to profile and activity reads.

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.

Provides read-only access to an Abler account's profile, groups, and sports schedules through MCP tools, including per-child schedule reports and individual event lookups. Uses a portable, reusable session credential so it can run headlessly on a remote machine after a one-time browser sign-in.

Enables users to estimate football match probabilities using a Dixon-Coles model, compare them to de-vigged bookmaker odds, and identify value bets from Claude Desktop.

Collects baseball league data from gameone.kr and enables Claude Desktop to perform team analysis, lineup recommendations, and opponent strategy through natural language.

Exposes court-availability data as a read-only panel rendered in MCP hosts (Claude Desktop, VS Code, test host) via a UI resource.

MCP server for RapidOddsAPI that provides bookmaker odds, live scores, arbitrage and value bets to AI assistants. It supports querying sports, odds, results, and betting opportunities with credit-based usage.

MCP server providing Claude live access to USL Super League data—teams, matches, standings, rosters, and schedule-strength analytics—via the ESPN public API.

Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.

Enables AI clients to securely connect to Volleymetrics and Hudl volleyball analytics for opponent scouting, rotation diagnostics, box scores, serve-receive audits, and DataVolley export.

Gives Claude read-only access to your ESPN fantasy football team, including roster, weekly matchup, free agents, and player profiles.

Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.

MCP server that gives Claude live access to Major League Soccer data — teams, matches, standings, rosters, and schedule-strength analytics — via the ESPN public API.

Provides AI agents with direct access to KingsPlaybook's sports data including confirmed lineups, player projections, game lines, and pick history via native MCP tools.

MCP server that gives Claude live access to Women's Super League (England) data — teams, matches, standings, rosters, and schedule-strength analytics — via the ESPN public API.

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.

Analyzes your Trackman golf data to diagnose weaknesses and generate personalized practice plans with drills and progress tracking, acting as a data-driven coach.

A read-only MCP server providing calibrated Dota 2 and Deadlock win-rate predictions and hero counters via batru.gg's live API.

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.

An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.

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.

Four utilities in one server: PDF text, ruled tables and OCR from a URL as pages, documents or RAG chunks; YouTube thumbnail URLs and files with per-size availability; sports scores, schedules and standings across 33 leagues; and ATP/WTA tennis with per-set scores and draws.

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.

Enables Claude to access live Premier League data—teams, matches, standings, rosters, player details, and schedule-strength analytics—through natural language.