"A tool for analyzing music to determine BPM" matching MCP servers:

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.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

Provides a tool to retrieve today's 2026 FIFA World Cup matches, including teams, time, venue, and scores.

Enables users to query MLB Statcast, FanGraphs, and Baseball Reference data using natural language through an AI assistant. It provides comprehensive tools for analyzing player performance, pitch-level data, season leaderboards, and team standings.

Connects Claude to Lichess for playing chess games, analyzing positions with Stockfish cloud evaluation, and solving puzzles. Supports real-time gameplay including moves, challenges, draw offers, and accessing user profiles and game history.

Enables querying and analyzing sports activities from Strava and Garmin Connect, including sleep and recovery data.

A minimal Python MCP server that provides surf forecasts for a single Surfline spot. It fetches both conditions and rating data through the get_surf_forecast tool.

Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.

Enables AI agents to query sports data including teams, players, events, and standings from TheSportsDB through natural language or direct tool calls.

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

Classifies Bowman Prospects baseball cards using image recognition, provides player statistics and market pricing data to determine card value.

MCP server for managing tennis club member data from local CSV/Excel exports. Provides tools for searching, filtering, and analyzing member information.

Enables analyzing Codeforces activity through local MCP tools, including weekly practice summaries, problem recommendations, user comparisons, weak-topic detection, contest tracking, and rating progress.

Enables fetching upcoming events for London Desperados CC from Spond via a single tool, get_desperados_events.

Exposes a single tool for Claude to fetch recent Strava activities, including detailed metrics and lap breakdowns, for automatic training summaries.

An MCP server that enables natural language querying of over 10 million ball-by-ball cricket deliveries stored in a local DuckDB database. It provides 26 tools for analyzing player matchups, situational stats, and historical records across all major cricket formats and tournaments.

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.

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