"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.

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.

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.

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.

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.

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.

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.

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.

Connects to Garmin Connect and exposes your fitness and health data to OpenWebUI, Claude, or any MCP-compatible client via Streamable HTTP transport.

Plan structured workouts over MCP or REST and export them as Garmin FIT files.

Enables AI assistants to access Oura Ring health data including sleep, readiness, activity, heart rate, and workouts through MCP tools with OAuth2 authentication.

Enables AI assistants to access your Oura Ring health data through OAuth2-authenticated API calls.

MCP server for workout-file conversion: convert, validate, and inspect FIT, TCX, ZWO, and Garmin Connect files, with round-trip-safe conversions through the KRD canonical JSON format. Runs locally over stdio via npx -y @kaiord/mcp. Part of the open-source, local-first Kaiord training platform.

Enables users to query Garmin health, activity, sleep, HRV, and training data through read-only MCP tools from ChatGPT or Codex.

MCP server providing full read/write access to Whoop wearable data, including recovery, sleep, workouts, journal, and more, via Whoop's private iOS API.

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.