"Go" matching MCP servers:

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

Provides soccer match predictions and league statistics using xG data and Poisson distribution models. It enables users to forecast outcomes, analyze team performance, and view league tables across major European football leagues.

Enables AI agents to safely interact with golf course operations by providing real-time inventory, booking rules, pricing policies, and a self-learning memory system.

Enables searching golf courses for free and retrieving premium data such as scorecards, GPS mappings, course details, and green slope images via a credit-based API with explicit spend confirmation.

An MCP server for managing kids' sports activities on Spond. Built for parents who want to give AI assistants access to upcoming matches, training schedules, and attendance.

Enables registering predictions and checking pool status for match predictions on the Injective testnet via MCP.

Enables comprehensive interaction with Tabcorp betting services through 30+ specialized tools covering racing data, sports betting, results, and FootyTAB with OAuth authentication. Supports all Australian jurisdictions and provides access to race meetings, next-to-go events, form guides, jackpots, and sports competitions.

Enables AI assistants to access sports betting odds data from 265+ bookmakers across 34 sports, including events, odds, historical data, arbitrage, and value bets.

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 Formula 1 data via the Ergast API, enabling users to check current standings, get race results, view the season schedule, and look up driver profiles.

Wraps TheSportsDB API to enable AI agents to query sports data through natural language.

Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.

Provides natural-language access to 2026 FIFA World Cup schedules, matches, kickoff times, scores, groups, standings, knockout bracket, teams, and stadiums, with automatic data updates during the tournament.

Access football (soccer) data including competitions, matches, standings, and team details via the Football-Data.org API.

Enables AI agents to query real-time and historical Formula 1 data, including Grand Prix meetings, sessions (races, qualifying, practice), drivers, and lap times or telemetry, with support for filtering by year, country, session, and driver. Can be used via the Pipeworx gateway or as a local stdio server.

Enables AI agents to query public Lichess data including player profiles, games, opening explorer, and tablebase via the Pipeworx MCP gateway.

Enables AI agents to query current sports injuries, player projections, and player prop betting markets across the NFL, NBA, MLB, NHL, CFB, and CBB via SportsDataIO's API.

Enables querying MLB history back to 1871 — year-by-year career batting and pitching lines, team-season records, per-game box scores, and season leaderboards — from Retrosheet game logs and the SABR Lahman Baseball Database. Also exposes coverage dates and refuses unrecognized queries with clear errors rather than empty results.

Enables AI agents to browse curated sports news feeds, read feed items, and fetch any RSS/Atom/RDF feed with normalization.

ESPN MCP — keyless multi-sport live scores, teams, and news via ESPN's public site API.