"Software Development Lifecycle Guide and Resources" 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.

Enables workout tracking and coaching within Claude conversations, managing exercise configs, logs, streaks, and health metrics via an MCP server with PostgreSQL.

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

Enables users to describe workouts in plain English and have them created as structured Garmin Connect workouts with pace, HR, power, cadence targets, and repeat blocks. Also provides full workout lifecycle management including listing, updating, deleting, and scheduling to the calendar.

Enables AI assistants to read and analyze Google Fit exported data (activities, daily metrics, workouts, sleep) from Google Takeout, providing tools for queries, resources, and coaching prompts.

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.

Connects personal API integrations like Hevy fitness and exposes them as MCP tools, resources, and prompts.

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.

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 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.