"Configurable Gmail SMTP/Mail Server for Any User with Remote Access" matching MCP servers:

Exposes user profile data from the Sapphire Wellness App to AI assistants, enabling access to health alerts, personalized recommendations, and partner service subscriptions.

MCP server that exposes user profile data from the Sapphire Wellness App, including health alerts, personalized recommendations, and partner service subscriptions via HTTP SSE.

Enables AI assistants to access Sapphire Wellness user profile data, including health alerts, personalized recommendations, and partner service subscriptions.

Exposes user profile data from the Sapphire Wellness App via MCP tools for health alerts, personalised recommendations, and partner service subscriptions.

Enables AI assistants to access Sapphire Wellness user data, including health alerts, personalized recommendations, and partner service subscriptions.

Exposes user profile data from the Sapphire Wellness App to AI assistants, including health alerts, personalized recommendations, and partner service subscriptions.

Enables AI assistants to access Sapphire Wellness user profile data, including health alerts, personalized recommendations, and partner service subscriptions.

Enables AI assistants to access user profile data from the Sapphire Wellness App, including health alerts, personalised recommendations, and partner service subscriptions.

Exposes user profile data from the Sapphire Wellness App to AI assistants via MCP, providing tools for fetching health alerts, personalized recommendations, and partner service subscriptions.

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.

Provides access to pharmaceutical management system APIs including user authentication, pharmacy account management, and advertising campaign controls. Enables querying pharmacy information, updating account details, and managing ad blocking through natural language interactions.

Enables AI agents to query personal health data collected by any wearable or phone fitness app through Android Health Connect or Apple Health, exposing read-only tools for metrics like heart rate, sleep stages, VO2 max, and body composition. It can run locally over USB with nothing stored, or be self-hosted on Cloudflare Workers with D1 to retain history beyond Health Connect's 30-day limit.

Enables management of user health profiles with capabilities to list, retrieve, and add user health information. Provides a sample implementation for testing MCP functionality with ChatGPT and other MCP-compatible tools.

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!

This MCP server exposes read-only Apple Health data to AI assistants via three tools (health_now, health_detail, health_trends), deployable to Cloudflare with a one-click button and no coding required.

Exposes Apple Health data as three read-only MCP tools (now, detail, trends) for AI to query health metrics, sleep, and trends via HTTP.

Enables AI assistants to read Apple Health data through three tools: current stats, detailed metrics, and trends. Deployable to Cloudflare with a one-click phone setup, exposing only read-only access.

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

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.