"Reverse engineering macOS binary files and applications" matching MCP servers:

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.

MCP server for tracking nutrition meals and workouts, integrating with claude.ai to manage food logs, macros, exercise catalogs, and generate daily/weekly summaries.

An MCP server that converts structured cycling workout specs into MyWhoosh .zwo and Garmin Connect workout files, with tools for validation, description, and rendering. It also includes skills for uploading workouts to both platforms.

MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.

Enables real-time Apple Watch heart rate monitoring via MCP tools, reading data from macOS HealthKit.

Local-first MCP server that reads Apple Health export files (export.xml/zip) and exposes activity, sleep, HRV, and workout data to AI agents, keeping all data on your machine.

Enables access to WHOOP fitness and health data through all WHOOP v2 API endpoints. Supports OAuth 2.0 authentication and provides comprehensive access to user profiles, physiological cycles, recovery metrics, sleep analysis, and workout data.

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.

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.

MCP server integrating Foodvisor nutrition API for food search, meal logging, daily summaries, and progress tracking via LLM agents like Claude.

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 full integration with Strava API v3 for managing activities, athletes, clubs, segments, and routes through MCP-compatible clients like Claude Desktop.

Enables MCP clients to read and update Garmin Connect data, including activities, health metrics, training status, and more, with per-account multi-tenant authentication.

Enables Claude.ai to read your MacroFactor nutrition data and log food back into MacroFactor.

Enables AI assistants to access Garmin Connect fitness and health data, including activities, heart rate, sleep, and device information.

Connects WHOOP fitness and recovery data to Claude Desktop, enabling users to query workouts, sleep, recovery, and trends through natural language.

MCP server for read-only access to Xiaomi Mi Fitness shared family health data, enabling queries for family members, health summaries, and historical metrics via ChatGPT.

Enables LLMs and MCP clients to securely access your Garmin Connect health and running data, including daily wellness metrics, activity details, training status, and race predictions, for personalized coaching and analysis.