"A server for pulling health and fitness data from Apple Health, Garmin, and Whoop" matching MCP servers:

Enables users to query Garmin health, activity, sleep, HRV, and training data through read-only MCP tools from ChatGPT or Codex.

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

MCP server that enables LLMs to query Apple Health data such as steps, heart rate, sleep, and workouts via natural language, with secure cloud access through OAuth.

An MCP server that securely syncs and queries your health data from Apple Health, storing it in your own Supabase Postgres database and exposing tools for AI assistants to retrieve weight, calories, macros, and more.

Read-only MCP server enabling natural language querying of personal health and cultural activity scores from the health.ojimpo.com dashboard via Claude.

Provides a unified MCP interface to a personal health database, enabling AI agents to sync lifting workouts from Hevy, log food intake against a catalog, and run read-only SQL queries to cross-reference training and nutrition data.

Enables AI agents to query personal health data collected by any wearable or phone fitness app through Android Health Connect or Apple Health, exposing read-only tools for metrics like heart rate, sleep stages, VO2 max, and body composition. It can run locally over USB with nothing stored, or be self-hosted on Cloudflare Workers with D1 to retain history beyond Health Connect's 30-day limit.

Self-hosted MCP server that syncs Xiaomi fitness data to SQLite and provides authenticated tools to query health metrics (steps, sleep, HR, etc.) for AI assistants like Grok.

Enables AI agents to query locally stored Samsung Health data—such as heart rate, sleep, steps, and workouts—through MCP tools for samples, daily summaries, and trend analysis while keeping everything on your own network.

MCP server for read-only access to Xiaomi Mi Fitness shared family health data, enabling queries for family members, health summaries, and historical metrics via ChatGPT.

Enables authenticated owners to capture, review, correct, and export bodyweight and strength-training data through a ChatGPT interface, including bounded multi-image/multi-session batch review, typed metrics with explicit provenance, pending drafts requiring guarded confirmation, and reversible deletion.

Enables AI clients to securely access, query, and mutate normalized user-controlled health data (e.g., from Apple Health or Supabase) through a bounded set of MCP tools, with optional OAuth and sandboxed deployment.

A local-first MCP server that stores nutrition, biomarker, and wearable data in SQLite and exposes it as Model Context Protocol tools, enabling MCP-aware agents to log meals, query trends, and run correlations.

Exposes Fitbit sleep and recovery data to Claude via the Google Health API, with tools for sleep sessions, sleep summaries, recovery vitals, and raw health data queries.

Integrity monitor for MCP server ecosystems, providing real-time health checks, drift detection, and cascade impact analysis for any AI agent.

Provides comprehensive email deliverability and domain registration analysis, evaluating SPF, DKIM, DMARC, DNS records, and expiry to identify issues and suggest fixes.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Self-hosted multi-user Google Health OAuth broker and read-only Agent API with remote MCP support. Enables users to connect their Google account and grant agents secure access to activity, sleep, heart, HRV, SpO2, and other health metrics via revocable per-token authentication.

Enables interaction with the Google Health API v4 using a user's OAuth grant, exposing tools for profiles, settings, paired devices, raw data points, reconciliation, rollups, and exercise export.

Discover and query CDC public health datasets via the Socrata SODA API. Provides tools for dataset discovery, schema inspection, and SoQL queries, plus resources and a guided prompt for health trend analysis.