"Kasa Smart" matching MCP servers:

Enables read-only SMART on FHIR R4 discovery, search, and read operations against public synthetic sandboxes, returning actual empty results and 404s rather than inventing patient data.

A Model Context Protocol server that connects AI tools to Electronic Health Records using SMART on FHIR, allowing secure searching, querying, and analysis of patient data from compatible EHRs.

Enables read-only access to RENPHO Health smart scale measurements through MCP, allowing users to retrieve latest readings, body composition history, and weight trends via an MCP client.

Enables AI agents like Claude Desktop, Cursor, and VS Code to connect directly to COLMI R02/R03 and compatible smart rings over local Bluetooth LE, exposing tools for ring scanning, battery and firmware status, activity and sleep/recovery insights, real-time heart rate and SpO2 vitals, 3-axis motion sampling, clock sync, and physical LED blinking. Runs fully locally with no vendor cloud, accounts, or subscriptions.

Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.

Connects your Oura Ring to AI assistants like Claude, providing human-readable insights about sleep, readiness, activity, and health metrics with smart analysis.

Enables AI assistants to recommend recipes, plan weekly meals, and solve the "what to eat today" problem by providing access to a comprehensive Chinese recipe database with smart filtering by categories, allergies, and dietary restrictions.

Provides access to body composition data from Renpho smart scales, enabling users to query weight, BMI, body fat percentage, muscle mass, and other health metrics with trend analysis over customizable time periods.

Enables AI assistants to read real-time focus state from any BrainFlow-supported EEG headset.

Connects AI assistants to SmartGym on Mac, enabling users to review workouts, tweak routines, and build training programs in plain English, with changes syncing to iPhone and Apple Watch.

Enables AI frontends to read Xiaomi Smart Band 10 Pro health data (heart rate, sleep, steps, battery) and send haptic notifications to the wrist via the knock tool.

Enables access to Renpho smart-scale body-composition data via the Renpho Health cloud API, providing metrics, trends, and diagnostics to Claude.

Enables AI assistants to access Oura Ring health data including sleep, readiness, activity, heart rate, and workouts through OAuth2-authenticated API calls with automatic token refresh and smart caching.

Enables AI agents to start, configure, and monitor simulated Bluetooth LE fitness devices such as smart trainers, power meters, speed/cadence sensors, and heart rate monitors over real Linux BlueZ radios via stdio or HTTP.

An MCP server for EufyLife smart scale body composition data, exposing weight, BMI, body fat, muscle mass, and 20+ other measurements as tools for AI assistants.

Enables reading Withings smart-scale data (weight, body composition, etc.) through MCP tools, with OAuth2 authentication and automatic token refresh.

Enables tracking hydration, analyzing water intake patterns, and managing HidrateSpark smart water bottle data through Claude Desktop.

Provides access to body composition data from FeelFit smart scales, including measurements like weight, BMI, and body fat. Supports multi-account management and health goal tracking via the FeelFit Cloud API.

Connects MCP clients to FHIR R4+ clinical APIs over SMART on FHIR v2 Backend Services, exposing resources, named operations, terminology lookup, and pagination as configurable tools. It adds metadata- and scope-aware search/CRUD, compact responses with FHIRPath filtering, safe pagination, audit events, and bundle execution.

Enables retrieval of health data from Withings smart scales including weight measurements and comprehensive body composition metrics like fat mass, muscle mass, and hydration levels. Supports multiple users, unit preferences, and OAuth authentication for secure access to personal health data.