"Co-op" matching MCP servers:

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.

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

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 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.

AI soigneur for cyclists: turns your Strava ride into an Ien-Vitse-validated nutrition plan (carbs/hour, hydration, timing) and assembles a ready-to-order musette. Works alongside the Strava MCP in Claude and ChatGPT.

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 AI agents to query roughly 4 million powerlifting competition entries from about 64,000 meets worldwide, retrieving a lifter's meet-by-meet history with best squat, bench, deadlift, total and points, the full ordered results of a specific meet, and all-time top lifts filtered by sex, equipment, lift, weight class, federation, age class, tested status or year. Runs keyless either through the hosted gateway URL or as a local stdio server.

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.

Enables retrieving live in-play sports matches, upcoming scheduled events, and bookmaker odds from BetsAPI, with optional natural-language access via ask_pipeworx.

Provides real-time access to League of Legends esports data including live matches, schedules, leagues, event details, and VODs through a standardized interface.