"Toggl Track" matching MCP servers:

Aggregates and analyzes fitness data from multiple sources like Whoop and Strava through a modular adapter architecture. It enables users to monitor health metrics, track activities, and gain insights into sleep, recovery, and training performance.

An MCP server wrapper for the Meiso Gambare API that allows users to log and track behavioral sessions such as meditation, focus, and exercise. It automates timestamp recording and duration calculations while providing tools for session management and activity statistics.

Connects AI agents to Iridium fitness data to query workout history, nutrition logs, and body measurements. It enables users to track exercise progress, training volume, and personalized trainer analysis through natural language.

Enables AI assistants like Claude to interact with TrainingPeaks, allowing users to query workouts, build structured intervals, track fitness trends, and add comments through natural language, with automatic secure login.

Enables AI assistants to search foods and recipes, track diet, manage weight, and log exercise using the FatSecret Platform API.

Enables Claude Desktop to access and analyze Garmin wearable health data including sleep, HRV, Body Battery, and activity metrics. Users can query their health trends, track recovery, and generate interactive HTML dashboards using natural language.

Enables AI assistants to create, validate, and track personalized, location-aware exercise and eating routines using local profiles and open data, with privacy and safety guardrails.

Enables users to interact with their Strava data through natural language to analyze workouts, track fitness progress, and explore routes. It supports retrieving detailed activity stats, heart rate data, and segment insights directly within AI assistants.

Connect TrainingPeaks to Claude and other AI assistants via the Model Context Protocol to query workouts, build structured intervals, manage calendar, track fitness trends, and control training through natural conversation.

Enables Alexa+ to deliver consent-aware family care handoffs, track shared observations and follow-ups, surface a prioritized next action, and keep private notes out of shared briefs.

A Model Context Protocol (MCP) server that provides AI assistants with access to the Hevy fitness tracking API. This allows you to log workouts, manage routines, browse exercises, and track your fitness progress directly through AI chat interfaces.

Enables AI clients to create and manage multi-week running training plans, track workouts and activities, and pull calendar or CSV exports through the app's API. Supports plan generation with configurable goals, mileage, schedule, and intensity, plus updating workout status and recording completed runs.

Enables AI assistants to interact with the Hevy fitness tracking API, allowing users to log workouts, manage routines, browse exercises, and track fitness progress through natural language.

Enables users to track daily calorie consumption by logging meals through natural language and searching a comprehensive food database. It provides daily summaries, weekly reports, and persistent SQLite storage to monitor dietary trends and goals.

A remote MCP server for personal nutrition tracking that lets you log meals, track macros, water, and body weight, and review your nutrition history through conversation.

Connect MyFitnessPal to Claude or any MCP client. Log meals, search food database with macros, track trends, and export nutrition history against your real MyFitnessPal diary.

Enables users to access Whoop biometrics including recovery, sleep, and strain scores while facilitating activity logging and device management. It allows for seamless interaction with health data to set alarms, update weight, and track activities through natural language commands.

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.

Access your Hevy workout data through natural language. Query workout history, exercise details, routines, and track progress.

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