"Designing a memory system for persona-based agents to improve user experience" matching MCP servers:

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 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 enabling AI agents to play fantasy football on Solana through Fantopy Arena, with tools for contests, lineups, and payouts.

A chess training MCP server that downloads games from Lichess, analyzes moves with Stockfish, detects pattern errors using a compression model, and provides spaced repetition training to improve weaknesses.

Provides bike tire pressure recommendations based on a SRAM-like formula, including live weather-adjusted front/rear pressures for configured bike profiles.

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

Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.

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.

Provides read-only access to Sleeper fantasy football data including user info, leagues, rosters, matchups, and NFL state through MCP tools.

Enables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.

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.

A Python-based MCP server that extracts football match data from multiple global sources like ESPN and BBC Sport using intelligent web scraping. It enables AI assistants to retrieve scheduled matches, real-time scores, and broadcasting details with advanced filtering for high-profile games.

Multi-user OAuth 2.1 gateway allowing a trusted circle to connect their Garmin Connect accounts to Claude, enabling natural language access to Garmin tools.

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

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.

Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.