health-hub
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Alternatives to health-hub
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Related Servers
- AlicenseAqualityDmaintenanceProvides Claude with real-time access to local health data including sleep, recovery, strain, and workouts from WHOOP and Apple Health, enabling informed context-aware interactions.61MIT
- AlicenseNot gradedqualityCmaintenanceA remote MCP server that lets AI assistants such as Claude, ChatGPT, and any MCP client ask about a user's Apple Health data, with answers produced live by the user's iPhone via HealthKit. Health data is forwarded through process memory only — never written to disk — and covers sleep, workouts, metric series, health overviews, and user-defined custom metrics.AGPL 3.0
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to read a user's WHOOP recovery, sleep, HRV, strain, and workout history through a local, read-only server with tools for today's status, personal baselines, sleep debt, trends, and period comparisons. It supports Claude Desktop, Claude Code, Codex, and GitHub Copilot, letting users ask natural-language questions about their health data without exporting it themselves.16 npm-
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants such as Claude, ChatGPT and Gemini to read wearable health data — daily activity, sleep stages, heart rate, SpO2, HRV, workouts, weight and nutrition — through a self-hosted, OAuth-protected Cloudflare Worker endpoint. It also lets users log weight, body fat, water, food, exercises, mood and symptoms by voice or chat, while leaving sensor-recorded data read-only.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to read Apple Health data through three tools: current stats, detailed metrics, and trends. Deployable to Cloudflare with a one-click phone setup, exposing only read-only access.MIT
- AlicenseAqualityBmaintenanceApple HealthKit → PostgreSQL sync + MCP server for Claude Code, Cursor, and Ollama. Open-source iOS app with reliable background sync (HKObserverQuery). 11 tools covering health summary, sleep, HRV trends, workouts, daily snapshots, metric stats, period comparison, and coaching briefs. Supports Supabase, Neon, and self-hosted Postgres. Privacy-first: your data goes to your own database.115MIT
TDQS
Scored across 11 tools
Most tools have distinct purposes: health logging, reporting, iOS build/install diagnostics, and knowledge-base search are clearly separated. There is minor conceptual overlap between query_samples and weekly_report for reading health metrics, and between sync_status and ios_logs for diagnostics, but descriptions help distinguish them.
All tool names use consistent snake_case with predictable prefixes and action/resource patterns, such as log_workout, log_meal, ios_build, ios_install, kb_list, and kb_search. The convention is uniform throughout the set.
With 11 tools, the server covers three coherent functional areas without obvious bloat. Each tool appears to earn its place by serving a distinct workflow: health data handling, iOS collector management, or knowledge-base access.
The surface supports reading samples, logging workouts/meals, weekly reporting, sync status, iOS build/install/logs, and knowledge-base search. However, it lacks update/delete operations for logged entries and has no direct query/list for meals or workouts beyond the weekly aggregate, which are notable gaps for a health-tracking hub.