"An introduction to SQL and database queries" matching MCP servers:

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

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 that connects Claude Desktop to Hudl, enabling live access to team stats, player stats, and game results through natural language 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 querying volleyball match, team, and tournament data from VolleyballWorld API through SQL queries on a SQLite database.

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.

Enables natural-language querying of historical NBA game data from a read-only SQLite database.

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.

A local, read-only stdio MCP server that bridges Codex to the COROS MCP gateway, enabling sport data queries through an allowlisted set of tools while excluding file and write operations.

Provides read-only, league-aware fantasy football data to AI clients without requiring an API key or database, covering league overviews, weekly matchups, injuries, trending players, historical rivalries, playoff brackets, drafts, and traded picks. It runs statelessly on Cloudflare Workers, automatically traversing linked prior seasons for multi-year analysis.

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

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.

An MCP server that provides access to over 12 years of NFL play-by-play data through a local DuckDB database. It enables users to query player performance, team statistics, and situational efficiency metrics like EPA and WPA using natural language.

Provides 28 MCP tools to query KBO baseball data, including player stats, pitch arsenal, zone charts, usage patterns, and trend reports using a SQLite database.

Enables interaction with the wger Workout Manager database to retrieve exercises, muscles, and equipment information.

Exposes Zwift training history stored in a local SQLite database to MCP clients and a REST API, enabling queries for activities, power curves, race results, and training load.

Connects Claude to Cartola FC, enabling queries about matches, player scores, and market information through natural language.

Enables querying K League official data (rankings, matches, players) via SQL using natural language, with a pre-built SQLite database.