"How to check differences between files" matching MCP servers:

Provides personalized recommendations for optimal outdoor exercise times by integrating weather data, Garmin Connect training schedules, and user performance metrics.

Enables ChatGPT and compatible AI clients to query read-only Garmin Connect data—including sleep, HRV, heart rate, Body Battery, wellness metrics, and activities—through a hosted OAuth-backed MCP connection using a personal API key.

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 an MCP client to read and write a personal Garmin Connect account: activities with per-set strength detail, daily health metrics (sleep, HRV, stress, steps, readiness), planned and completed workouts, and weigh-ins with body composition. It also logs finished strength sessions and body-composition readings as FIT files so they appear in Garmin Connect like natively recorded ones.

Provides six deterministic, source-attributed hydration calculators (water intake, dehydration check, pregnancy intake, kidney-safe intake, athlete plan, energy optimization) as MCP tools, enabling AI clients to call them via stdio without custom HTTP coding.

Enables an agent to fetch one night of Eight Sleep data as ready-made text — scores, sleep stages, HRV, heart and respiratory rate versus your averages, and bed/room temperatures — plus short summaries of earlier nights for a morning check-in. Read-only, so nothing on the mattress can be changed.

Unofficial MCP server for Fitatu, the Polish calorie counter: read and log food, weight, water, body measurements and workouts, check calories and macros left, set goals and get weekly reports. 47 tools (26 read-only), read-only and demo modes, stdio or HTTP with a token, free and Premium accounts.

Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.

Enables MCP clients to read a user's own Rouvy activities, including summaries and per-second data for splits, selected time-window analysis, and downsampled streams; optionally exports FIT or CSV files when configured.

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 AI agents to manage fitness coaching accounts by listing clients, programs, check-ins, appointments, messages, body stats, tags, and client status through a signed-in account.

Enables local, read-only analysis of running durability from your own FIT files, listing outdoor runs and returning drift, magnitude, onset, and trend indices without GPS coordinates or predictions.

Enables ChatGPT, Claude, and other AI agents to work with client check-ins, workout templates, and training programs in a user's signed-in account, with approval required before actions reach other people.

Enables Claude Desktop and Claude Code to read locally synced Fitbit Air health data — scores, trends, sleep, activity, running and body age — run read-only SQL against it, and keep a journal and coach notes on the user's Mac. It also offers profile edits, a refresh tool, and guided prompts such as morning check-ins, weekly reviews, race planning and score explanations.

Connects AI agents to the Pilates With Neelam studio management platform, enabling natural-language class search, real-time availability checks, bookings, level assessments, and post-class check-ins.

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.

Enables Claude to answer trail and ultra running questions from a local DuckDB warehouse built from Garmin FIT files, with 29 parameterised tools that compute running-only pace by grade, matched-terrain heart rate drift, segment comparisons and training load, each result stating its filters and exclusions.

Enables Claude and other MCP clients to query Garmin Connect health, training, activity, and body data, analyze FIT files, and create structured workouts that sync to a Garmin watch.

Lets Claude Code, Codex, and other AI assistants query locally collected Apple Health data, build weekly reports, check sync status, and log workouts or meals by hand.

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.

Exposes 24 official Garmin personal API endpoints as MCP tools, letting users query daily health and wellness data (stress, steps, sleep, HRV, body battery, SpO2, activities) and download raw activity files for China or international regions. Data is returned as-is from Garmin's official client, with credential-based single-account setup.

Enables querying health data from the Health Auto Export app on iPhone/iPad via MCP, allowing LLMs like Claude to access and analyze personal health metrics.

Enables AI assistants to read training, sleep, recovery, nutrition, body composition, race and goal data, and with permission write workouts, daily targets, meal plans, logged meals and notes. Also supports checking for updates since the last look.

Enables AI assistants to analyze sleep quality, compare nights, generate reports, and get personalized improvement tips using Sleepon sleep tracker data.

Connects Aidlab wellness data to AI tools through MCP, providing read-only access to daily summaries, steps, heart rate, HRV, sleep, activities, and profile with OAuth authentication.

Model Context Protocol (MCP) server that allows AI assistants to access and analyze your OpenStride training data.

Enables Claude to read recent activities and wellness data (sleep, HRV, resting HR) and to create, update, and delete structured planned workouts, which sync through intervals.icu to Garmin Connect and onto the user's watch.

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.

Enables MCP-compatible AI clients to read and write wearable data through Whoop's private iOS API, covering recovery, sleep, strain, journal, strength training, live heart rate, and more via 55 tools. Write operations default to a preview gate requiring explicit confirmation.

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

Enables Claude, Codex, and GitHub Copilot users to query read-only WHOOP recovery, sleep, HRV, strain, workouts, and personal health analytics through natural language. It provides baselines, trends, readiness insights, and local dashboard views without modifying the user's WHOOP account.

Provides comprehensive access to Strava API for marathon training and race analysis, enabling language models to query athlete data, analyze training patterns, track performance metrics, monitor heart rate zones, and detect injury risks.

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.

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 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.

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.