"Natural Language to SQL Generation Tools" matching MCP servers:

Enables AI agents to discover live and recent football matches, scores, and fan clips on Vublox. Supports searching by team, league, or keyword and retrieving match summaries.

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.

MCP server that connects AI assistants to the Statos football analytics platform, enabling natural language queries for match predictions, betting picks, league information, and admin market-suppression controls.

Enables Claude to access live Premier League data—teams, matches, standings, rosters, player details, and schedule-strength analytics—through natural language.

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 KenPom basketball analytics through MCP tools. Enables querying ratings, efficiency, player stats, and more using natural language.

Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.

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

Exposes the StatsPlus API as tools for MCP-compatible clients, enabling users to query player/team statistics, contracts, ratings, and game history via natural language.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

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.

Enables natural-language querying of a local DuckDB warehouse of NFL play-by-play data, converting questions into SQL and returning results.

Enables interaction with Strava's API to access and manage activities, athlete data, routes, segments, clubs, and gear through natural language.

Enables querying volleyball match, team, and tournament data from VolleyballWorld API through SQL queries on a SQLite database.

Enables natural-language access to Chess.com's public API, exposing player, club, tournament, puzzle, and leaderboard data through tools and resources without authentication.

Enables natural language queries and analysis of Japanese horse racing data from JRA-VAN without writing SQL. Supports analyzing race results, jockey performance, breeding trends, and track conditions through conversation with Claude.

Wraps TheSportsDB API to enable AI agents to query sports data through natural language.

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

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.

Enables Formula 1 data analysis through natural language, providing tools like track dominance, lap time analysis, and team performance comparisons.