"A system for managing project to-do lists with change logging" matching MCP servers:

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.

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.

Enables searching routes and areas on Mountain Project, applying route-finder filters, and querying personal tick lists live.

Enables Claude, ChatGPT and other MCP clients to look up members, their memberships and credentials, events and event bookings, and clubs and other organisations in a sports membership platform, and, when writes are enabled, to change the dates of a member's membership.

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 users to interact with Komoot for managing tours, planning routes, exporting GPX/FIT, and accessing highlights and user profile.

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

Enables full integration with Strava API v3 for managing activities, athletes, clubs, segments, and routes through MCP-compatible clients like Claude Desktop.

Enables any MCP client to read and change your Teamarr sports-EPG configuration, including teams, event groups, templates, settings, channels, and Dispatcharr sync. Also provides curated tools for safe settings updates, template fillers, event channel summaries, unmatched stream discovery, and TheSportsDB gating checks.

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.

MCP server for odds data that provides tools to query consensus odds, fair prices, and outliers, and to safely propose, approve, and publish boosts with audit logging.

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 AI agents to access a ProTrainUp club account through its undocumented API and web panel, exposing read-only tools for calendars, motoric tests, exercises, conversations, team-wall posts, scheduled posts, event lists, and diary files. It also supports authenticated GET exploration without performing write operations.

Provides Teamfight Tactics meta statistics and personal match analysis using Riot API data, with tools for deck tier lists, augment stats, and player history analysis.

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

Multi-agent parlay optimization system using CrewAI to analyze games, evaluate props, and construct optimal parlay combinations.

Connects Claude to the Codeforces public API, enabling retrieval of user submissions, profile info, rating history, contest standings, contest status, and contest lists through natural language.

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.