"A guide to creating video reels" matching MCP servers:

Fitness AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

MCP server for reading and querying Garmin Connect data, including activities, strength history, recovery, trends, and optionally creating workouts.

Enables creating, previewing, scheduling, and managing Garmin Connect workouts, plus reading activities and health metrics, all through a local MCP server.

An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.

A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.

Enables Claude Code to securely read your Garmin Connect health, training, and workout data through a local stdio server, with an optional allow-listed path for creating and scheduling workouts.

A Model Context Protocol server that provides language models with access to Strava API data, allowing them to query and analyze athlete activities from Strava.

Enables retrieval and analysis of MyFitnessPal nutrition data including daily summaries, meal breakdowns, exercise tracking, and macro/micronutrient analysis. Uses browser cookie authentication to access your personal MyFitnessPal account data through natural language queries.

This MCP server exposes read-only Apple Health data to AI assistants via three tools (health_now, health_detail, health_trends), deployable to Cloudflare with a one-click button and no coding required.

Exposes read-only Apple Health data (current status, sleep details, trends) to AI via a Cloudflare-deployed MCP server and iPhone Shortcuts.

Enables Claude to access your MyFitnessPal diary—foods, portions, meal and daily nutrition totals, water, exercise, steps, and weight—through a custom connector on web, desktop, and mobile.

A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Brings Garmin training data into Claude via Intervals.icu, enabling querying of activities, wellness, and planned workouts, as well as creating structured workouts that sync back to the Garmin watch.

Exposes Whoop fitness data (recovery, sleep, strain, workouts) to Claude for use as a daily training coach, enabling natural language queries about your health metrics and training readiness.

A read-only MCP server for the Apex Rides API, deployed as a Cloudflare Worker, providing tools to browse popular classes, search workouts, get class details, and list instructors.

Provides raw Garmin Connect data access for training analysis, enabling retrieval of activity summaries, lap data, time-series streams, comments with lactate, wellness metrics, and personal records through an MCP interface.

Enables AI to read-only access Apple Health data (current status, sleep, trends) via a Cloudflare-deployed MCP server, using iPhone shortcuts to sync data.

MCP server that exposes personal device data from sources like Oura into a unified SQLite store, allowing Claude to answer questions across metrics (sleep, activity, etc.) with a set of read-only tools.

A Model Context Protocol (MCP) server that connects AI assistants to your MyFitnessPal data, enabling reading food diaries, nutrition goals, weight measurements, and more via MFP's web scraping.