"A server for requesting weather data" matching MCP servers:

Serves read-only archived ResMed CPAP data from a local SQLite database, enabling MCP clients to query nightly summaries, raw signals, and sync status over the LAN.

Gives Claude read-only access to your own ring's health data — sleep, readiness, HRV, heart rate, activity, workouts, stress, resilience, SpO2, VO2 max and cardiovascular age — from claude.ai, desktop, and mobile. Runs as a private remote server on your own Cloudflare Worker, locked to a single account with OAuth-encrypted tokens and no stored health data.

Enables read-only access to your own Withings health data through a personal developer app, exposing body measurements, blood pressure, daily activity, sleep summaries, and linked devices for natural-language queries.

A Model Context Protocol server that enables Claude to search and access detailed nutritional information from the USDA's FoodData Central database.

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 Claude and other MCP apps to query the user's own activity and health data—sleep, HRV, Body Battery, stress, heart rate, steps, and workouts—locally and read-only.

Provides local, Keychain-secured access to all 26 Garmin Connect Personal API GET endpoints plus 8 summary tools. Enables users to query sleep, HRV, Body Battery, activities, profile, weight, and other connected health data through their own Personal API key.

Enables Claude to read a user's Oura Ring data—including sleep, readiness, activity, stress, workouts, heart rate, and personal info—through a self-hosted, read-only connector deployed to the user's own Vercel account.

Enables Claude to act as a personal health coach by connecting to Garmin wearable data and Notion workspace for automated calorie tracking, photo food logging, and coaching insights.

Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.

Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.

Exposes over 90 Garmin Connect tools for tracking activities, health metrics, and training data through the Model Context Protocol. It is optimized for Poke compatibility and supports deployment to Render via HTTP.

Enables querying of current A\&E waiting times, specialist outpatient waiting times, and general outpatient clinic quotas in Hong Kong using natural language through MCP.

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.

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!

MCP server that provides access to Hong Kong government city data, including ambulance service indicators, via a FastMCP interface.

Enables Alexa+ users to coordinate household pet care by logging feeding, medication, activity, litter, and health observations for dogs and cats, with evidence-grounded triage, Q&A, and daily briefings backed by a verified veterinary library and citations.

Enables AI apps to query a user's Google Health data—such as sleep, heart rate, HRV, activity, and paired devices—through read-only tools deployed privately in the user's own Firebase project.

This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.

An MCP server that provides a USDA-accurate food database with deterministic macro math, enabling tools like list_foods, get_food, calculate_macros, filter_by_diet, build_meal, and list_available_tags. It allows Claude to look up nutrition facts and solve for exact macro targets offline, without AI or network.

Enables Claude to access and analyze Whoop health data including recovery, sleep, strain, and workouts through a custom MCP connector.

Enables MCP clients to query read-only Oura health data—readiness, sleep, HRV, activity, stress, heart rate and tags—through combined daily overviews, multi-day trends and aggregated heart-rate series. Authentication stays local via OAuth with PKCE, graceful handling of unavailable data types, and an optional sandbox of public sample data.

Claude Code plugin and MCP server that nudges you to take outdoor breaks based on local weather, sunset timing, and session streaks. Exposes check_grass_conditions, suggest_activity, log_touch_grass, and get_stats tools — fully local, no API keys, no cloud storage.

Enables scoring the WHO-5 Well-Being Index from five answers, returning a 0–100 score and a low, reduced, or normal band without providing a diagnosis.

MCP server that reads glucose data from a FreeStyle sensor via the LibreLinkUp API, providing current glucose and history with explicit coverage and gaps.

Official MCP server for Safe Mind, the German platform for the legally required psychological risk assessment (Gefährdungsbeurteilung psychischer Belastung). 12 tools: account onboarding, departments and locations, survey drafts, and anonymity-protected aggregated analytics that never return groups below the minimum size.

Enables AI assistants to answer food safety and shelf-life questions using USDA-grade data, with tools for shelf life, safety checks, storage tips, and waste cost calculations.

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

Privacy-first MCP server for querying personal health and finance data with AI. Built with Python, FastMCP, and SQLite. Local-first and open source.

Enables AI assistants to read Technogym mywellness training history, including workout sessions, per-exercise set data, per-second exercise analytics, and heart-rate traces.