"Connecting to PostgreSQL database, retrieving table schema, and executing SQL queries" matching MCP servers:

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 querying table tennis ratings, players, tournaments, and halls from rttf.ru, with respect for robots.txt restrictions.

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.

Provides access to the r.ttw.ru table tennis rating site, enabling searches for players, matches, head-to-head encounters, and tournaments via MCP tools.

An MCP server for Fantasy Premier League that allows querying gameweek info, player recommendations, squad management, and executing transfers via FPL's public API with optional cookie authentication.

Manages Fantasy Premier League teams via natural language, reading team data, analyzing players and fixtures, and executing actions like transfers, captain changes, and chips.

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 structured access to a World Cup SQLite database via MCP tools, enabling queries for tournaments, team histories, head-to-head matches, and player records.

Enables interaction with Fantasy Premier League data through natural language queries. Supports retrieving fixtures, league standings, player performance, and other FPL statistics via the official FPL API.

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

Provides access to FantasyPros API for retrieving sports data including news, player information, consensus rankings, and projections across NFL, MLB, NBA, and NHL.

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.

Provides structured Valorant esports analytics data and metrics through MCP, including match analysis, player profiling, scouting reports, and ad-hoc SQL queries. Enables AI models to generate accurate coaching insights from pre-computed analytics tables.

Enables querying MLB history back to 1871 — year-by-year career batting and pitching lines, team-season records, per-game box scores, and season leaderboards — from Retrosheet game logs and the SABR Lahman Baseball Database. Also exposes coverage dates and refuses unrecognized queries with clear errors rather than empty results.

Enables retrieving live in-play sports matches, upcoming scheduled events, and bookmaker odds from BetsAPI, with optional natural-language access via ask_pipeworx.

Enables natural language querying of Feyenoord football match data, converting questions to SQL queries and returning results.

Provides access to the Start.gg GraphQL API for querying tournament information, event standings, and player statistics. It also enables bracket management tasks like retrieving match sets and reporting winners through natural language.

Wraps the Sports Game Odds API to provide sports game odds data through natural language queries.

Connects Claude to Strava data for natural language queries about rides, stats, and activities.

Enables analysis of GeoGuessr game statistics, performance tracking, and strategy recommendations with automatic API monitoring and multi-user support. Features dynamic schema adaptation to handle GeoGuessr API changes automatically.