Turn your Android phone into an MCP server. AI assistants connect on demand, query your health data, notifications, app usage, and take actions on your device — all end-to-end encrypted, no cloud sync.
Enables querying Chinese medical information (drugs, diseases, doctors, symptoms) from the Dayi platform with structured output and auto-type detection.
Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.
Provides grocery price and nutritional information search capabilities, allowing AI agents to search for food products, compare prices, and analyze nutritional content across different grocery stores.
Enables diabetes management by retrieving real-time glucose readings from Dexcom continuous glucose monitors and searching for carbohydrate content of foods to help make informed dietary decisions.
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.
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!
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.
Enables searching Taiwan FDA drug database by various criteria (English/Chinese names, license numbers, ingredients), retrieving drug information, and downloading PDF package inserts with CAPTCHA verification support.
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.
Provides SQL access to the ANSES Ciqual French food composition database with nutritional data for over 3,000 foods. Supports full-text search and bilingual queries for comprehensive nutrition analysis.
A local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.
Enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the Spoonacular Food API using natural language.
A Model Context Protocol server that enables natural language commands to manage healthcare data stored in Medplum FHIR servers through standardized Create, Read, Update, and Search operations.
Enables AI agents to interact with the Teladoc telehealth platform to search for providers, book virtual appointments, and manage prescriptions. It also supports secure messaging and access to past visit history through the Model Context Protocol.