"Semantic UI" matching MCP servers:

Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.

MyChart MCP Server

Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.

Fitness AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Open-source MCP server for MetricBridge (formerly Health Export AI). 16 tools and 22 prompts let any MCP agent query 190 Apple Health metrics from files on your own machine. The server is read-only, has zero dependencies and makes zero network calls.

Read-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.

Enables AI agents to access astrology, divination, and Vastu capabilities across Vedic, Western, KP, Chinese, Tarot, I Ching, Human Design, Numerology, and Ayurvedic domains as semantic tools.

Healthcare billing AI for agents — 12 tools for ICD-10/CPT/HCPCS code lookup (80K+ codes), prior auth prediction, medical NER, claims validation, HIPAA compliance auditing, and provider/drug enrichment. Pay-per-call via credits or USDC.

Enables analysis and retrieval of JEFit workout data through natural language. Provides access to workout dates, detailed exercise information, and batch workout analysis for fitness tracking and progress monitoring.

MCP server for headless care coordination, providing tools for case-aware provider search powered by ai-carematch.

Enables AI assistants like Claude to analyze your Swiggy order history, providing personalized insights on food habits, spending, and recommendations.

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.

Exposes availability and appointment-proposal tools over stdio so an MCP client can query open slots and suggest bookings, without being able to create them—actual booking requires human confirmation through the separate UI/API. Slot claims are transactional and idempotent, and cancellation only releases a slot still owned by that booking.

Enables retrieval and analysis of MyFitnessPal nutrition data including daily summaries, meal breakdowns, exercise tracking, and macro/micronutrient analysis. Uses browser cookie authentication to access your personal MyFitnessPal account data through natural language queries.

Focus Timer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

MCP server for Mi Fitness cloud data. Provides a local SQLite-backed server to sync and query daily activity, heart rate, and body measurements.

Enables AI clients to query and analyze your own Xiaomi/Mi Fitness health data — daily activity, minute-level heart rate, sleep stages, workouts, body composition, SpO₂, stress, and abnormal heart beat events — after syncing it from the Xiaomi cloud into a local SQLite database. Exposes 14 tools covering connection status, incremental sync control, and metric/date-range queries, with everything stored and served locally.

Enables syncing Xiaomi Mi Fitness cloud health data into a local SQLite cache and querying it through MCP tools for daily activity, heart rate, sleep, workouts, body measurements, blood oxygen, stress, and abnormal heartbeat records.

Enables reading and syncing Xiaomi Mi Fitness health data (steps, heart rate, sleep, workouts) from the Chinese cloud region to a local SQLite database via MCP tools.

Enables AI agents to read training data and, with explicit approval, replace planned workouts in a user's Intervals.icu account.

Enables Claude, Codex, and GitHub Copilot users to query read-only WHOOP recovery, sleep, HRV, strain, workouts, and personal health analytics through natural language. It provides baselines, trends, readiness insights, and local dashboard views without modifying the user's WHOOP account.

Exposes the Chakudya Nutrition Registry API as MCP tools, enabling clients to search Malawian food data, perform clinical nutrition lookups, and query a RAG knowledge base.

Sovereign MCP server for fallclinic-us, enabling AI agents to manage clinic workflows via Ed25519-signed, offline-capable tools. MIT-licensed and runs on your own infrastructure.

Enables LLM clients to authenticate with Xiaomi Health and query authorized family members' sleep, heart rate, and step data via MCP, with deployment on Cloudflare Workers.

An MCP server featuring an interactive React UI for Garmin Connect integration. It allows users to access and interact with Garmin fitness and health data through the Model Context Protocol.

Enables users to ask natural-language questions about their WHOOP recovery, sleep, HRV, strain, and workout history through assistants such as Claude Desktop, Claude Code, Codex, and GitHub Copilot. Provides read-only access to personal baselines, trends, sleep debt, and weekly health summaries, plus HYROX and triathlon-specific race analytics.

Enables asking natural-language questions about WHOOP recovery, sleep, HRV, strain, and workouts inside Claude, Codex, and GitHub Copilot. Provides read-only tools, resources, and prompts for personal health analytics, along with HYROX and triathlon tracking and a local chart-first dashboard.

Meditation Guide AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables users to query and analyze their WHOOP recovery, sleep, HRV, strain, workouts, and personal health data through AI assistants. It provides read-only access, local operation, and optional HYROX and triathlon tracking.