"A server for reasoning about code using MCP" matching MCP servers:

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

Enables MCP clients to discover tournaments, inspect events, entrants, sets, standings, and streams for any game on start.gg using natural language.

Provides access to real-time data from the French Basketball Federation (FFBB), including live scores, standings, and competition details. It allows users to search for clubs, matches, and venues using natural language without requiring an API key.

Enables AI assistants to access World Cube Association speedcubing data including world records, competitor profiles, competition information, and championship results. Supports queries about rankings, competition schedules, and detailed speedcubing statistics through natural language.

A Model Context Protocol server for TrainingPeaks with an analytics focus — enabling real-time querying of training data, performance trends, CTL/ATL/TSB analysis, and training load optimization through Claude Desktop.

An MCP server that connects Claude Desktop to Hudl, enabling live access to team stats, player stats, and game results through natural language queries.

Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.

MCP server for the Concept2 Logbook API, enabling user profile management, workout result operations, and challenge queries.

An MCP server for fetching cricket data from Cricbuzz, including player statistics, live match scores, upcoming schedules, and the latest news.

Enables natural language interaction with Sleeper Fantasy Football API data, allowing queries about leagues, players, matchups, draft results, and trade analysis.

A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.

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.

An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.

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 AI agents with access to football match predictions for Premier League and Champions League, including half-time/full-time scores, goal scorers, corner counts, and key player insights.

A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.

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.

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 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.

Connects LLMs to the Fantasy Premier League API for intelligent team management, enabling natural language player research, competitor analysis, transfer decisions, and strategic planning using friendly names instead of IDs.