"Understanding High-Level Control Systems" matching MCP servers:

Condition-aware ingredient & product safety intelligence for AI agents. Every answer carries a claim-level evidence attestation, verdict, an evidence tier, and a citation – curated against authoritative sources (LactMed, InfantRisk, PubMed, DSLD, DermNet, EU CosIng) by Health AI. Hosted MCP server – no install, no key. Endpoint: https://mcp.healthai.com (Streamable HTTP, JSON-RPC 2

Provides real-time pollen level alerts and hayfever mitigation tips using the Ambee API.

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.

Unofficial Eight Sleep MCP server for sleep trends, temperature, alarms and gated pod control.

Enables users to search and retrieve fitness exercise information from the Api Ninjas database. It supports filtering by exercise name, target muscle, type, and difficulty level.

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!

Connect TrainingPeaks to Claude and other AI assistants via the Model Context Protocol to query workouts, build structured intervals, manage calendar, track fitness trends, and control training through natural conversation.

MCP server for integrating with the EVO gym management API, enabling access control, member management, activity scheduling, sales, and workout management through natural language.

Integrates with Google Maps to locate and evaluate medical facilities in emergency situations, helping users find appropriate hospitals and clinics based on medical needs, emergency level, and facility capabilities.

Enables AI agents to securely interact with FHIR R4-based EMRs, supporting read, search, create, and update operations on any FHIR resource type across systems like Epic, Cerner, and OpenEMR.

Enables Claude and other AI agents to read sleep and recovery data from a Fitbit or Pixel Watch through the Google Health API, including HRV, resting and sleeping heart rate, SpO2, breathing rate, skin temperature, and detailed sleep stages compared against a personal baseline. It runs as a shared AWS Lambda custom connector with per-user Google sign-in and read-only tools for recovery status, daily metrics, sleep sessions, and night-level detail.

Enables coverage-aware Apple Health metrics, distinguishing observed values from placeholders and providing day-level coverage and trend tools.

Enables AI agents to control MuSe/LoveSpouse/Leten Bluetooth toys via MCP by sending BLE advertisements from a Windows PC.

Controls a KingSmith WalkingPad Z1 under-desk treadmill from a Mac over Bluetooth LE, with CLI and MCP server for status, start, stop, and speed control.

Enables AI assistants to view screen time data and control focus blocks for the Opal app.

Enables natural language control of an elderly care system on RK3588, integrating face recognition, object recognition, voice interaction, health monitoring, and IoT services through MCP tools.

Connects agents and other MCP hosts directly to the official Hevy Public API for reading workouts, routines, exercise templates and history, routine folders, body measurements, and account information. Writes stay gated behind a server-level opt-in plus per-call confirmation, with credentials kept local via Keychain, an environment variable, or a key file.

Provides intelligent access to the USDA nutrition database through AI assistants, enabling users to search foods, compare nutritional content, find foods high in specific nutrients, and query authoritative nutrition data across 7,146+ food items through natural language.

Exposes DICOM operations as tools for AI agents to interact with medical imaging systems and PACS. It enables searching for studies and series, querying instance metadata, and retrieving pixel data from DICOM entities.

Enables AI agents to act as personal growth coaches, allowing users to set goals, receive personalized daily tasks, and track progress with dynamic replanning and reward systems.