"Host Tracker MCP server endpoint" matching MCP servers:

Enables AI assistants to query workouts, activity history, training load, VO2Max progression, recovery metrics, and social feeds from Sports Tracker.

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

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

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

Condition-aware ingredient & product safety intelligence for AI agents. Every answer carries a claim-level evidence attestation, verdict, an evidence tier, and a citation – curated against authoritative sources (LactMed, InfantRisk, PubMed, DSLD, DermNet, EU CosIng) by Health AI. Hosted MCP server – no install, no key. Endpoint: https://mcp.healthai.com (Streamable HTTP, JSON-RPC 2

Connects WHOOP fitness tracker data to AI assistants like Claude and ChatGPT, enabling natural language queries about recovery, sleep, strain, and trends.

Enables an assistant to locally discover and control supported Sleepme bed devices, check water status, adjust temperatures, retrieve Sleep Tracker reports, and manage saved routines.

Enables Claude to access MyFitnessPal diary data through a stateless OAuth MCP endpoint deployed on Vercel.

Enables Claude, Cursor, or any MCP client to query your own recovery scores, sleep, strain cycles, workouts, profile, and body measurements through every WHOOP API v2 read endpoint. Tools return records exactly as WHOOP sends them, with paging and date-range filtering, and refresh tokens automatically after a one-time login.

Enables workout logging, volume calculation, exercise database search with 1500+ exercises, and AI-powered workout plan generation with DynamoDB persistence.

MCP server for the Hevy workout tracker API that allows reading and writing workouts, routines, exercise templates, and body measurements.

Integrates with Whoop API v2 to access user profile, sleep, recovery, cycles, and workout data via natural language, with OAuth2 authentication and automatic token refresh.

Provides AI agents with access to Hevy workout data, allowing them to manage workouts, routines, exercises, and body measurements through a Dockerized SSE endpoint.

Enables AI agents to interact with the Hevy Workout Tracker API to manage workouts, routines, exercises, and user data.

Exposes every endpoint of the Mealie REST API as MCP tools, enabling LLMs to manage recipes, meal plans, shopping lists, and more.

Enables AI assistants to analyze sleep quality, compare nights, generate reports, and get personalized improvement tips using Sleepon sleep tracker data.

Official JustGains MCP server: lets AI agents build and save workouts, read training history and progress, search exercises, plan routes, and log meals and bodyweight in a JustGains account. A TypeScript stdio server on the MCP SDK with OAuth sign-in, serving the same tools as the hosted JustGains endpoint.

Bridges the official COROS (高驰) MCP endpoint into DeepSeek Harness or any MCP client, exposing 34 tools covering sleep, HRV, resting heart rate, recovery, training load, activities and FIT files, plus workout and training-plan creation and scheduling. It handles OAuth login, rotation-safe token refresh and MCP schema inlining locally, so users can query and manage their COROS training data through natural language with no external CLI or runtime dependencies.

Enables AI assistants to access and query personal health data from Garmin Connect and Technogym mywellness through a unified MCP endpoint.

Enables querying a Tonal fitness account for workout history with per-set weights, muscle readiness, strength scores, and lifetime stats through a remote MCP endpoint.

Enables natural-language queries about a patient, their insulin pump or other devices, and consent to share their data, with answers retrieved in real time from a FHIR R4 endpoint.

MCP server that connects WHOOP health tracker data to ChatGPT, enabling read-only search, fetch, summary, and a React dashboard widget for recovery, sleep, strain, and workouts.

Enables users to model Lally habit automaticity curves, estimate behavioral friction price elasticity, and derive minimum viable micro-habits that protect streaks on low-energy days.

A filesystem-based MCP server that turns any MCP-capable AI agent into a conversational calorie and protein tracker with natural-language estimates, confidence-aware logging, daily/weekly progress, food-history search, and export, working offline with local fallback data.

Enables deterministic calculation of cutaneous post-occlusive reactive hyperemia metrics, including PU_peak/PU_base amplification ratio, time to peak, and endothelial nitric oxide reserve, from laser Doppler flowmetry inputs for microvascular endothelial assessment.

Enables users to track daily calorie consumption by logging meals through natural language and searching a comprehensive food database. It provides daily summaries, weekly reports, and persistent SQLite storage to monitor dietary trends and goals.

Enables MCP clients such as Claude to access selected read-only Garmin activity and step data plus MyFitnessPal diary data through one self-hosted authenticated endpoint.

Enables AI assistants such as Claude, ChatGPT and Gemini to read wearable health data — daily activity, sleep stages, heart rate, SpO2, HRV, workouts, weight and nutrition — through a self-hosted, OAuth-protected Cloudflare Worker endpoint. It also lets users log weight, body fat, water, food, exercises, mood and symptoms by voice or chat, while leaving sensor-recorded data read-only.

Connects CareSens continuous glucose monitor accounts to MCP-capable AI tools such as ChatGPT and Claude, letting users check current glucose readings, past measurement history, and period-based glucose statistics through natural language. It runs as a deployable server that authenticates with a CareSens session and exposes the data over a private MCP endpoint.

It enables AI host applications to retrieve evidence-grounded female wellness knowledge, navigate six life-stage journeys, and apply deterministic safety and escalation guardrails through MCP tools, resources, and prompts.