"A GitHub server implementing the Model Context Protocol (MCP)" matching MCP servers:

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.

Turn your Android phone into an MCP server. AI assistants connect on demand, query your health data, notifications, app usage, and take actions on your device — all end-to-end encrypted, no cloud sync.

MCP server for Benny the dog's health and care monitoring, allowing users to log care events like water refills, barks, movement, sausage deliveries, movie time, and wake calls, with automatic loneliness detection and Boomy robot integration.

Enables users to model neuro-autonomic state shifts, project alpha/theta entrainment windows, and estimate striatal dopamine replenishment from session and respiratory-rate inputs.

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.

Connects AI assistants to health data via the Biological Sovereignty Protocol, with cryptographically verified user consent enforced on-chain.

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.

Connects AI assistants to TrainingPeaks via secure cookie authentication (no API approval needed), letting users query and build workouts, schedule intervals on the calendar, analyze CTL/ATL/TSB fitness trends and power PRs, manage health metrics, events, equipment, and workout libraries through natural language. It also supports coach accounts with athlete groups and multi-week training plans.

Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.

A local MCP server that caches Garmin Connect data in SQLite for fast, read-only queries, with tools for bulk import, rate-limited sync, and failure alerts.

A Model Context Protocol server that enables Claude to search and access detailed nutritional information from the USDA's FoodData Central database.

Enables AI clients to access live heart rate readings, recent history, and events from sources such as Pulsoid, HypeRate, Bluetooth, OSC, HTTP pushes, or text files, while optionally pushing updates to Discord and JSON webhooks.

Enables scoring the WHO-5 Well-Being Index from five answers, returning a 0–100 score and a low, reduced, or normal band without providing a diagnosis.

Unofficial, self-hosted MCP server that connects Claude or ChatGPT to your own FatSecret food diary. It drafts entries from a description, a plate photo or a nutrition label, saves them only after you confirm, and changes or removes entries the same way. It also reads a day or several weeks against your calorie and macro targets.

MCP server that reads glucose data from a FreeStyle sensor via the LibreLinkUp API, providing current glucose and history with explicit coverage and gaps.

Official MCP server for Safe Mind, the German platform for the legally required psychological risk assessment (Gefährdungsbeurteilung psychischer Belastung). 12 tools: account onboarding, departments and locations, survey drafts, and anonymity-protected aggregated analytics that never return groups below the minimum size.

Gives AI assistants live access to US prescription drug prices by pharmacy with observation dates, the free discount card, and vetted US equivalents of foreign-brand medicines, all through the Model Context Protocol.

Provides SQL access to the ANSES Ciqual French food composition database with nutritional data for over 3,000 foods. Supports full-text search and bilingual queries for comprehensive nutrition analysis.

Enables AI agents to look up businesses, find free appointment slots, book, list and cancel appointments at salons, barbershops, nail and brow studios and clinics. Works read-only without a customer login by returning a pre-filled booking link, and can also run against a built-in demo with sample businesses.

Provides 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.

Enables browsing the Ptitchef recipe category tree and reading its recipes without an API key or account.

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

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

Provides real-time Dexcom CGM glucose data to MCP clients via the unofficial Share API, enabling queries like current glucose and recent readings within the last 24 hours.

MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.

Enables an LLM to search a movement library, log single-movement and multi-movement workout results, and pull complete logged training history plus PR trends for Beyond the Whiteboard straight from a chat. All logged entries are posted privately, and session authentication can refresh automatically.

A 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.

MCP server for managing food diary, nutrition tracking, meal planning, and weight logging via the FatSecret Platform API.

Enables AI assistants to access and analyze Polar device health data, including exercises, heart rate, sleep, and recovery metrics, by preprocessing raw sensor data into compact summaries to avoid context window overload.

Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.