"NetEase Cloud Music" matching MCP servers:

Enables read-only access to Amazfit/Zepp fitness data via the unofficial Zepp cloud API, exposing normalized health and workout metrics to MCP clients.

Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.

An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.

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.

Local MCP server that reorders YouTube Music playlists for running, using YouTube Data API to read, validate, and reorder tracks with dry-run and safe copy creation.

Enables MCP clients to read smart-scale weight and body-composition data from the associated cloud account, listing members and retrieving the latest measurement or recent history.

MCP server that provides local caching, sync, and tools for Zepp Life health data including steps, sleep, heart rate, workouts, and body measurements, supporting both file exports and cloud session access.

An MCP server for interacting with the Wahoo Cloud API to manage workouts, routes, training plans, and power zones. It enables users to list, retrieve, and create fitness data through secure OAuth 2.0 authentication.

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 reading and syncing Xiaomi Mi Fitness health data (steps, heart rate, sleep, workouts) from the Chinese cloud region to a local SQLite database via MCP tools.

Enables MCP hosts to query and analyze a local Samsung Health mirror, with tools for status, metadata, inventory, daily summaries, and aggregate analyses, plus optional bounded access to raw records and cloud synchronization.

Enables access to Renpho smart-scale body-composition data via the Renpho Health cloud API, providing metrics, trends, and diagnostics to Claude.

Provides read-only tools to check cloud authentication and retrieve normalized body-composition measurement history, with optional date filters, including the latest measurement.

Enables AI agents to read your own Apple Health data through a self-hosted SQLite mirror, allowing them to query health metrics, workouts, meals, and strength logs without sending data to the cloud.

Lets AI assistants read your own Mi Fitness (Xiaomi cloud) health data — steps, heart rate, sleep, SpO2, stress, weight and workouts — through local MCP tools with QR-code login. Runs locally over stdio, returns results as JSON, and withholds GPS tracks unless explicitly allowed.

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.

Provides access to body composition data from FeelFit smart scales, including measurements like weight, BMI, and body fat. Supports multi-account management and health goal tracking via the FeelFit Cloud API.

A stateless MCP server for Cloudflare Workers that exposes read-only Garmin Connect data (activities, health, sleep, training status, HRV, VO2 max) for a single securely linked personal account.

MCP server that enables LLMs to query Apple Health data such as steps, heart rate, sleep, and workouts via natural language, with secure cloud access through OAuth.

A collection of MCP servers that dynamically wrap existing Python SDKs (Google SecOps, SOAR, Google Cloud, Fitbit) to expose their functionality to LLMs.