"A tool or assistant to explore and debug my codebase" matching MCP servers:

Provides read-only access to Yahoo Fantasy Football league data through MCP, letting ChatGPT retrieve rosters, standings, scoreboards, draft results, transactions, and player stats without making any roster changes.

Provides read-only, league-aware Sleeper fantasy football draft context to AI assistants, including live picks, rosters, and player availability over Streamable HTTP MCP.

MCP server that provides fantasy football draft tools including ranked boards, best available, player comparisons, sleeper/bust flags, and ADP market gaps using a calibrated projection model.

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

MCP server that acts as a live fantasy football draft assistant, syncing ESPN or Sleeper boards and providing pick recommendations with reasoning and survival odds.

Enables AI assistants to discover, explore, and query Formula 1 data stored in AWS, using Athena and Glue for schema inspection, sample data, and custom analytical queries.

Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.

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.

AI-powered Yahoo Fantasy Football assistant for lineup optimization, draft strategy, and league management with player enhancement and multi-league support.

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

Enables AI assistants to explore player profiles, ratings, game archives, leaderboards, clubs, and puzzles via the Chess.com API.

Enables any MCP-capable assistant to provide a voice-first evening briefing, fetching current weather, live sports scores, and tonight's TV schedule from keyless public APIs.

Wraps CricAPI to provide live cricket data, enabling AI agents to query cricket information through natural language or direct tool calls.

Enables querying community-run, keyless football/soccer match data from OpenLigaDB through natural language or direct tool calls.

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.

MCP server for a World Cup 2026 prediction game assistant, providing tools for live game data via PostgreSQL and semantic search over football articles via RAG.

An open-source MCP server that turns any AI assistant into a football data analytics and scouting platform, enabling natural language queries over 40+ stats, 20+ leagues, and 10,000+ players.

Enables users to ask an AI assistant about their WHOOP recovery, sleep, HRV, strain, workouts, and personal health trends, including HYROX and triathlon readiness, using read-only access to their own data.