"How to connect a backend project to MongoDB" matching MCP servers:

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.

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 listing, creating, editing, deleting, and scheduling structured workouts (run, cycle, swim, triathlon) on Garmin Connect via natural language.

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

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

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.

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.

Provides natural language access to IPL cricket match data, allowing users to query player statistics, team performances, and match results. It utilizes a SQLite backend and Cricsheet data to deliver detailed cricket analytics through the Model Context Protocol.

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 assistants to read Garmin activities and create/schedule structured workouts and multi-week training plans directly on Garmin Connect, syncing to your watch with guided prompts.

Enables triathlon coaches and athletes to interact with Garmin Connect, including retrieving health/activity data, building and uploading structured workouts (cycling, running, swimming, brick), and accessing coaching analytics like readiness, load, and performance trends.

Connect ESPN & Yahoo fantasy leagues to AI assistants via MCP. Read-only tools for rosters, standings, matchups, free agents, and league info across football and baseball.

Multi-user OAuth 2.1 gateway allowing a trusted circle to connect their Garmin Connect accounts to Claude, enabling natural language access to Garmin tools.

Connect Claude to XERT cycling analytics - access fitness signature (FTP, LTP, HIE), training load, workouts, and activities.

Turns your Garmin watch into a sailing analytics tool by combining GPS data from Garmin Connect with historical weather data, providing insights like speed, VMG, wind conditions, and interactive maps.

Enables management of sports video metadata with PostgreSQL backend, supporting CRUD operations, advanced search, and tracking of game information including teams, scores, player statistics, and match details.

Enables AI assistants to access and manage Garmin Connect data through 95 tools, including real-time activities, metrics, and downloads.

Provides read access to Garmin Connect health and training data (sleep, heart rate, stress, HRV, activities) and supports writes like creating workouts, editing activities, and exporting files.

MCP server for RapidOddsAPI that provides bookmaker odds, live scores, arbitrage and value bets to AI assistants. It supports querying sports, odds, results, and betting opportunities with credit-based usage.

MCP server providing Claude live access to USL Super League data—teams, matches, standings, rosters, and schedule-strength analytics—via the ESPN public API.