"Pivotal Tracker" matching MCP servers:

Enables AI assistants to query workouts, activity history, training load, VO2Max progression, recovery metrics, and social feeds from Sports Tracker.

Habit Tracker AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Connects WHOOP fitness tracker data to AI assistants like Claude and ChatGPT, enabling natural language queries about recovery, sleep, strain, and trends.

Enables workout logging, volume calculation, exercise database search with 1500+ exercises, and AI-powered workout plan generation with DynamoDB persistence.

MCP server for the Hevy workout tracker API that allows reading and writing workouts, routines, exercise templates, and body measurements.

Integrates with Whoop API v2 to access user profile, sleep, recovery, cycles, and workout data via natural language, with OAuth2 authentication and automatic token refresh.

Enables AI agents to interact with the Hevy Workout Tracker API to manage workouts, routines, exercises, and user data.

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

MCP server that connects WHOOP health tracker data to ChatGPT, enabling read-only search, fetch, summary, and a React dashboard widget for recovery, sleep, strain, and workouts.

A filesystem-based MCP server that turns any MCP-capable AI agent into a conversational calorie and protein tracker with natural-language estimates, confidence-aware logging, daily/weekly progress, food-history search, and export, working offline with local fallback data.

Connects to a Gym Tracker Supabase database to provide LLMs with access to personal workout history, routines, and training progress. It enables users to analyze fitness performance, track personal records, and receive personalized coaching advice through natural language.

Tracks daily calorie intake with accurate BMR/TDEE calculations, food logging, and profile management via Cloudflare Workers and D1 database.

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 analyze their habits over a specified period and receive weekly reviews through natural language prompts.

Offline MCP server for logging workouts, tracking dietary macros, and retrieving daily summaries, all stored in local SQLite. Enables fitness tracking via natural language in MCP-compatible clients.

Enables AI agents to read and write workout, food, cardio, and body-weight data on a self-hosted Elite fitness-tracker instance through the Model Context Protocol.