"Fetching health data from an Apple Watch, including sleep, heart rate, and activity" matching MCP servers:

An MCP server that allows users to query and analyze their Apple Health data using SQL and natural language, utilizing DuckDB for fast and efficient health data analysis.

Loads Apple Health export data into a local SQLite database and exposes tools to query health metrics and workout records via natural language.

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

An MCP server that enables AI agents to query Apple Health data (190+ metrics) in natural language, including trends, comparisons, and structured exports.

Provides a unified MCP interface to a personal health database, enabling AI agents to sync lifting workouts from Hevy, log food intake against a catalog, and run read-only SQL queries to cross-reference training and nutrition data.

An MCP server that securely syncs and queries your health data from Apple Health, storing it in your own Supabase Postgres database and exposing tools for AI assistants to retrieve weight, calories, macros, and more.

Archived MCP server for PostgreSQL health monitoring; functionality merged into pg-dash.

Provides read-only SQL Server health and diagnostic tools using DMVs, enabling users to query server health, active queries with blocking, and missing indexes through natural language.

The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.

Enables AI assistants to query and export from the macOS Apple Photos library using natural language, backed by osxphotos.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.

Enables an agent to read the user's local Messages.app database on macOS, listing chats and threads and searching iMessage/SMS history entirely on localhost, with optional AppleScript sending gated behind an explicit flag. Access is read-only and scoped-shut by default, and replies can be optionally sent when send mode is enabled.

Connect any AI to PostgreSQL, MySQL, or SQL Server — 24 dialect-aware tools for query, schema, optimization, and more.

Enables querying Garmin health data stored in Supabase through natural language, providing access to VO2 max trends, activity breakdowns, sleep statistics, race predictions, heart rate zones, and training load metrics.

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

Enables read-only access to Chinese FHIR electronic health records, including patient summaries, medication review context, record queries, and attachment reading, along with controlled CSV import and status tools.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables interaction with a comprehensive healthcare management system through FastAPI, supporting operations for patients, doctors, appointments, medical records, telemedicine, lab orders, prescriptions, insurance claims, and more with JWT authentication.

This MCP server enables secure, read-only access to synthetic preventive-care patient records and bounded IRIS namespace health metrics through a small set of allowlisted, parameterized tools.

Integrates Taiwan-specific medical data including ICD-10 codes, FDA drug databases, and nutrition information into the Model Context Protocol. It enables AI models to query clinical guidelines, verify medical codes, and convert health data into FHIR R4 standardized formats.