"How to connect to a database" matching MCP servers:

Enables AI clients to securely connect to Volleymetrics and Hudl volleyball analytics for opponent scouting, rotation diagnostics, box scores, serve-receive audits, and DataVolley export.

Enables AI assistants to query a user's own Garmin Connect training, health, and recovery history through Garmin's official Personal API, backed by a local cache and built-in analysis tools.

Exposes the 82-0 Dream NBA lineup game's game modes, roster picks, scenarios, FAQ, and official links to MCP-compatible AI clients.

Provides verified game rules, official links, and FAQ for the 17-0 NFL roster strategy game to MCP-compatible AI clients.

Enables AI agents to connect to Fantopy Arena, browse and enter fantasy football contests, build validated lineups, and claim payouts on Solana.

Exposes the canonical 7-0 knowledge surface — game modes, roster picks, and scenarios, FAQ, official links

Garmin Connect for Claude and any MCP client, on Garmin's official Personal API. Read-only access to sleep, HRV, Body Battery, stress, heart rate, activities and weight with a revocable key, no password or scraping.

Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.

Provides game rules, roster constraints, FAQ, and official links for the 27-0 NRL fantasy draft game, enabling AI clients to retrieve this knowledge.

MCP server enabling AI agents to play fantasy football on Solana through Fantopy Arena, with tools for contests, lineups, and payouts.

Exposes the canonical 17-0 knowledge surface including game rules, roster constraints, and entry points for the NFL roster strategy game to MCP-compatible AI clients.

A local MCP server that exposes Garmin Connect activity, health, and training data as tools for Claude Desktop. It provides read-only access to metrics like activities, sleep, heart rate, and training readiness.

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

Connect AI agents to OP.GG Esports data and retrieve upcoming League of Legends match schedules effortlessly. Access structured match information through a standardized interface, enhancing your AI's capabilities with real-time esports data.

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

Provides Formula 1 data via the Ergast API, enabling users to check current standings, get race results, view the season schedule, and look up driver profiles.

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.

Gives any MCP client local access to Garmin Connect sleep and nap data, recovery and Body Battery, training readiness and load, running tolerance, VO2 Max, race predictions, gear mileage and running summaries. It runs over stdio or Streamable HTTP and includes a credential-free demo mode with fictional sample data.

An MCP server that enables LLMs to act as World Cup forecasting agents, pulling live odds, getting model forecasts, and simulating tournament brackets via natural language.

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 AI agents to search and analyze Japanese horse-racing data in a PostgreSQL database, including races, entries, odds, jockeys, trainers, pedigrees, training, and predictive metrics. Also provides forecasting knowledge resources and safe read-only custom SQL querying for deeper analysis.

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

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.

MCP server that connects Garmin Connect data to Claude, enabling training analysis, recovery checks, and personalized plans based on real metrics like HRV, training load, and activities.

Enables AI agents to query public Lichess data including player profiles, games, opening explorer, and tablebase via the Pipeworx MCP gateway.

Enables AI agents to query current sports injuries, player projections, and player prop betting markets across the NFL, NBA, MLB, NHL, CFB, and CBB via SportsDataIO's API.

Enables AI agents to query roughly 4 million powerlifting competition entries from about 64,000 meets worldwide, retrieving a lifter's meet-by-meet history with best squat, bench, deadlift, total and points, the full ordered results of a specific meet, and all-time top lifts filtered by sex, equipment, lift, weight class, federation, age class, tested status or year. Runs keyless either through the hosted gateway URL or as a local stdio server.

Connects AI agents to Garmin Connect so they can read fitness data (activities, sleep, steps, heart rate, weight, workouts, profile) and schedule or manage Garmin Calendar workouts with an explicit confirmation flow.