"A tool for storing and maintaining up-to-date codebase memory/context" matching MCP servers:

Fantasy Premier League stats and press coverage for AI agents: read-only SQL over FPL player, fixture and gameweek data, plus semantic search over BBC Sport and Guardian articles and FPL injury news. Bring your own PostgreSQL and Pinecone, with bundled ingestion jobs.

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

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.

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.

Searchable football data provider documentation for AI coding agents. Enables agents to look up verified docs on event types, qualifier IDs, coordinate systems, and more across 15 providers.

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

A stateless, read-only MCP gateway for the public Chess.com API, enabling agents to fetch player profiles, stats, games, and club data without storing credentials.

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.

A Model Context Protocol server for the Sportmonks Football API v3, providing over 150 tools to access football data including fixtures, teams, players, odds, predictions, and more.

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.

A Model Context Protocol server that provides read-only access to Yahoo Fantasy Sports data, enabling AI assistants to query league standings, player stats, matchups, and rosters.

Enables interaction with the CopaMind platform via MCP, exposing read-only and write tools for querying match predictions, Monte Carlo simulations, team rankings, and RAG-based explanations, all while maintaining full traceability and reproducibility.

Provides verified NFL stats (2016–2025) and Sleeper league context through an MCP server, with tools for querying metrics, comparing entities, verifying claims, and accessing league data.

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.

Enables AI agents to retrieve soccer match details, live scores, fixtures by date, and win/draw/loss predictions through the Sportmonks Football v3 API.

Fetches bike ride events from the Pedalpalooza calendar and allows LLMs to query rides by date, pace, difficulty, and family-friendliness.

An open-source MCP server that connects to the SoccerDataAPI to deliver up-to-date football match information via natural language interactions.

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.