A
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qualityA
maintenanceFitness AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
5
11
MIT
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"Self-hosted MCP server on Proxmox LXC container accessible from AI on a separate PC" matching MCP servers:
- Alicense-qualityAmaintenanceHabit Tracker AI - MCP server providing AI-powered tools and automation by MEOK AI Labs10MIT
- Alicense-qualityAmaintenanceEnables creating workout plans, tracking progress, suggesting exercises, and calculating training volume through natural language, compliant with MCP protocol.MIT
- Alicense-qualityAmaintenanceGarmin health and fitness data in Claude and ChatGPT via the official Garmin Health API. Hosted remote server with OAuth sign-in — no password sharing.MIT
- Alicense-qualityAmaintenanceRead-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.3Apache 2.0
- Alicense-qualityAmaintenanceHydration Reminder AI - MCP server providing AI-powered tools and automation by MEOK AI Labs9MIT
- AlicenseBquality-maintenanceEnables analysis and retrieval of JEFit workout data through natural language. Provides access to workout dates, detailed exercise information, and batch workout analysis for fitness tracking and progress monitoring.832
- FlicenseBqualityCmaintenanceEnables retrieval and analysis of MyFitnessPal nutrition data including daily summaries, meal breakdowns, exercise tracking, and macro/micronutrient analysis. Uses browser cookie authentication to access your personal MyFitnessPal account data through natural language queries.6
- Alicense-qualityFmaintenanceEnables AI agents to search foods, get nutritional breakdowns, and estimate exercise calories using the Nutritionix API through natural language input.3MIT
- Alicense-qualityAmaintenanceMCP server that connects AI assistants like Claude to WHOOP health data, enabling natural language queries about recovery, sleep, workouts, and more.122137MIT
- Flicense-qualityBmaintenanceExposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.
- Flicense-qualityBmaintenanceMCP server that wraps wger fitness/nutrition management platform, providing 15 tools for exercise search, ingredient nutrition lookup, weight tracking, and more, accessible to any MCP-compatible AI agent.
- Flicense-qualityCmaintenanceEnables LLMs to access and analyze biometric and training data via MCP, supporting queries on sleep, performance, nutrition, and training load to generate adaptive training insights.
- AlicenseAqualityAmaintenanceProvides read-only access to Oura ring biometrics via the Oura API, enabling Claude to query daily summaries, sleep, readiness, stress, workouts, baselines, and heart rate data. Designed to complement a Strava connector for joint analysis of training and recovery.8MIT
- AlicenseAqualityBmaintenanceA read-only MCP server that gives Claude Desktop access to your Garmin Connect data — daily health metrics, sleep, activities, training status, and body composition.6MIT
- AlicenseAqualityDmaintenanceMCP server that enables AI assistants to access Whoop health data including recovery, sleep, workouts, and daily strain for personalized health recommendations.71,020MIT
- AlicenseAqualityBmaintenanceMCP server to read daily activity, sleep, heart rate, and body metrics from Google Health API, allowing AI assistants like Claude to access your health data. Optionally syncs health metrics to an Obsidian vault.5MIT
- AlicenseAqualityAmaintenanceMCP server for the Oura Ring API v2, enabling natural language queries about sleep, readiness, activity, heart rate, and more.2521MIT
- AlicenseAqualityAmaintenanceA local-first, read-only MCP server that provides compact recovery, sleep, strain, HRV, heart-rate, workout, and body-measurement data from WHOOP without sending credentials to a third party.5671MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server for TrainingPeaks with an analytics focus — enabling real-time querying of training data, performance trends, CTL/ATL/TSB analysis, and training load optimization through Claude Desktop.14MIT