Self-hosted MCP server that aggregates personal health data from Google Health, Oura, and Withings into a single, provider-attributed interface with configurable source of truth preferences.
A Model Context Protocol server for tracking personal health and well-being, offering tools for workout logging, nutrition management, and daily journaling with AI-assisted analysis integration.
Fetches body composition data (weight, body fat percentage) from the Tanita Health Planet API and exposes it as MCP tools for AI agents like Claude Desktop.
Enables agents to access local physiological context—Libre glucose, heart-rate, and watch history—with provenance and freshness metadata, so they can recognize when a user seems unusually off.
Enables MCP clients like Codex and Claude Code to securely read and manage a personal Cronometer account, including food logs, nutrient summaries with missing-data awareness, food search, biometrics, and export analysis.
Provides MCP tools to read and update a local-first personal OS for goals, tasks, habits, food, workouts, and check-ins. Enables assistants to manage daily life data and interact with an evidence-grounded AI coach.
MCP server for Cronometer nutrition tracking using the mobile API. Enables food logging, nutrition data retrieval, diary management, and fasting tracking.
Connects AI agents to the Pilates With Neelam studio management platform, enabling natural-language class search, real-time availability checks, bookings, level assessments, and post-class check-ins.
Enables personal trainers to query and summarize client management data—active clients, workouts, physical assessments, retention, check-ins, feedback, and finances—through MCP-compatible AI clients in read-only mode.
MCP server for Cronometer nutrition tracking, enabling food diary management, nutrition data retrieval, food search, and biometric tracking via Cronometer's mobile REST API.
Enables AI assistants to access and analyze Fitbit health data (activity, sleep, heart rate, weight, profile) via natural language through the Fitbit Web API.
MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!
A standalone Model Context Protocol server that enables AI models to access the Australian Pharmaceutical Benefits Scheme (PBS) API data, including medicine listings, pricing, and availability information.
Provides access to the Nutrition By Api Ninjas API to extract detailed nutritional information from natural language food queries. It enables users to retrieve data such as calories, vitamins, and macros from text descriptions of meals.
Enables users to calculate chronotype-aligned sleep schedules, optimize 90-minute ultradian cycles, determine caffeine cutoffs, and plan light exposure for better recovery and circadian alignment.
Enables personal AI agents and users to reinforce habits, triage decisions, and prevent streak-break abandonment by generating adaptive micro-fallbacks and elastic recommendations.