"Pi-hole" matching MCP servers:

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.

Enables retrieval of InBody body composition data including profile, scan history, and full metrics via MCP tools.

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

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 an MCP client to read and write a personal Garmin Connect account: activities with per-set strength detail, daily health metrics (sleep, HRV, stress, steps, readiness), planned and completed workouts, and weigh-ins with body composition. It also logs finished strength sessions and body-composition readings as FIT files so they appear in Garmin Connect like natively recorded ones.

MCP server for Cronometer nutrition tracking using the mobile API. Enables food logging, nutrition data retrieval, diary management, and fasting tracking.

Enables nutrition tracking with Cronometer, including food logging, food search, diary management, and nutrition data retrieval via natural language.

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.

Unofficial MCP server for Fitatu, the Polish calorie counter: read and log food, weight, water, body measurements and workouts, check calories and macros left, set goals and get weekly reports. 47 tools (26 read-only), read-only and demo modes, stdio or HTTP with a token, free and Premium accounts.

Enables AI agents to analyze synthetic biomarker panels via Phi Longevity's PRISM clinical recommendation engine, providing tiered, guideline-cited recommendations. Also offers tools to list supported biomarkers and retrieve methodology.

A read-only MCP server that lets AI assistants query a user's own training, recovery, sleep, activity, and wellness data through the official Garmin Connect Personal API. It can run locally or be self-hosted on Cloudflare Workers for access from Claude and other MCP clients.

Enables food and nutrition lookups from Open Food Facts and USDA FoodData Central, plus local meal logging, barcode and product searches, nutrient comparisons, allergen and additive data, and daily meal totals.

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 Claude to read your own Garmin Connect data—activities and exact pace splits, VO2 max and training effect, sleep, HRV, Body Battery, stress, weight and more—through Garmin's official Personal API, with no password or scraping. Access is read-only and runs entirely on your machine, so you can ask natural-language questions about training and recovery.

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.

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!

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 24 official Garmin personal API endpoints as MCP tools, letting users query daily health and wellness data (stress, steps, sleep, HRV, body battery, SpO2, activities) and download raw activity files for China or international regions. Data is returned as-is from Garmin's official client, with credential-based single-account setup.

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.

A local-first, model-agnostic MCP server that stores personal health data in a SQLite file and provides analysis-ready views for any AI client to log, retrieve, and reason over health records.

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.