"Full Stack Web Application Development" matching MCP servers:

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

Real-time marathon & road/trail race runner position forecasting, spectator cheer spot arrival windows, on-course sighting pin pace recalibration, and worldwide GPX/FIT/OpenStreetMap course search.

A stateless MCP server that normalizes strength training logs into a deterministic canonical schema, enabling consumers to build analytics downstream without storing data server-side.

MCP server that connects Claude and ChatGPT to the Intervals.icu API, enabling retrieval and management of activities, events, wellness data, power curves, and custom items.

A read-only remote MCP server that connects Claude to your own Garmin Connect account through Garmin's official Personal API, running on Cloudflare Workers with OAuth sign-in so it also works in the Claude mobile app. It lets you ask natural-language questions about sleep, HRV, resting heart rate, Body Battery, stress, daily summaries and activities across date ranges.

MCP server for the Fitbit Web API with OAuth PKCE, local cache, and trend analysis.

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 retrieval of InBody body composition data including profile, scan history, and full metrics via MCP tools.

Enables AI assistants like Claude to read a single user's own Strava account through its API: profile and totals, activities with laps, splits, zones and per-second streams, plus segments, routes, gear and clubs. It is strictly read-only, using the user's own Strava API application and OAuth tokens stored locally, and returns model-friendly, context-sized data.

An AI-powered running coach that connects Claude to your Strava data, providing personalized training plans, progress tracking, and coaching feedback through a web dashboard.

Enables AI assistants to access and analyze Fitbit health data (activity, sleep, heart rate, weight, profile) via natural language through the Fitbit Web API.

Local stdio MCP server providing private Garmin coaching tools for Codex, ChatGPT desktop, and Claude, enabling preview and safe application of training weeks and heart-rate profile updates.

Connects Claude to a personal Garmin Connect account so users can ask natural-language questions about sleep, HRV, body battery, stress, heart rate, training readiness and activities, and optionally create or schedule workouts and log weigh-ins. Reads are returned as trimmed summaries with optional full JSON, and writes stay disabled unless explicitly enabled.

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.

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

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.

A comprehensive AI-powered fitness tracking application that enables AI tools to interact intelligently with user fitness data, providing personalized workout plans, nutrition tracking, and progress analysis through natural language.

Enables OAuth-authenticated access to Garmin account data through MCP, with a read-only web dashboard for monitoring account connections and activity.

Enables searching a catalogue of over 1,400 video-backed exercises by text, muscle group, equipment and difficulty, fetching full details for any exercise, and generating structured workouts or multi-week periodized programs. It also exposes the muscle-group and exercise-type vocabularies with their counts, returning the upstream API's JSON unchanged.

Enables Claude and any MCP client to read a user's own Garmin account in plain language, covering activities, time-series charts, thresholds, sleep, HRV, Body Battery, stress, readiness and trends. It also serves a private local dashboard that downloads the full training and health history, correlates metrics across views, and exports any table as CSV.

Provides full access to the Hevy public API, enabling users to manage workouts, routines, routine folders, exercise templates, exercise history, and body measurements through natural language. Supports both local stdio and remote HTTP MCP deployments.

Enables finding home fitness exercises by name, alias, equipment, or muscle and opening reviewed video demonstrations and full-workout links.

Totem provides Claude with full read and write access to wearable device data, starting with Whoop, through its private iOS API.

Enables MCP clients such as Claude to query Fitbit and Pixel Watch health data — sleep, steps, heart rate, HRV, workouts, weight and nutrition — through the Google Health API, with built-in OAuth 2.0 sign-in and multi-user access so it can be hosted remotely and reached from web, desktop and mobile.

Python MCP server for the Hevy fitness app. Gives Claude full access to your Hevy data. Log workouts, manage routines, track body measurements, browse exercises, and more. Covers all 25 endpoints of the official Hevy API.

Enables AI assistants to read and log Peloton workouts, Apple Health metrics, and weigh-ins, view an adaptive training plan, search and stack Peloton classes, and manage goals through natural language.

Enables MCP clients to operate training records, nutrition lookup, body-metric tracking, and web search through standard stdio tools.

Enables MCP clients to read and modify a user's nutrition-tracking account: the full diary across foods, exercise, notes, biometrics and targets, plus coverage-aware nutrient totals that report unreported values as an "at least" floor instead of zero. Writes such as logging, editing, deleting or copying entries require per-action approval, with deletes needing explicit confirmation and an optional read-only mode that removes them entirely.

Connect Pelaris to any MCP-compatible AI assistant for personalised fitness coaching. Plan training programs, log workouts, track benchmarks, manage goals, and get data-driven coaching insights. Supports science-based methodologies including 5/3/1, Pfitzinger, polarised training, and more. OAuth 2.0 authentication with Streamable HTTP transport. Documentation: https://pelaris.io/integrations Web

A personal remote MCP gateway that exposes Garmin Connect, Home Assistant, and YouTube as MCP servers over HTTP, allowing Claude or any MCP client to query and control them from anywhere without local credentials. It includes a web UI for managing credentials and issuing API keys, with authentication delegated to an external SSO.