"Health-related MCP servers or resources" matching MCP servers:

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 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.

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.

Lets Claude Code, Codex, and other AI assistants query locally collected Apple Health data, build weekly reports, check sync status, and log workouts or meals by hand.

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

Enables AI agents to manage virtualization, Active Directory, Windows hosts via WinRM, PostgreSQL databases, and shell/SSH environments through Model Context Protocol tools.

Open-source MCP server for MetricBridge (formerly Health Export AI). 16 tools and 22 prompts let any MCP agent query 190 Apple Health metrics from files on your own machine. The server is read-only, has zero dependencies and makes zero network calls.

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

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 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.

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.

Exposes Supabase functionality for Gaia Health to n8n workflows, enabling appointment scheduling and management operations through MCP tools.

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.

This lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things with Neo4j and your Aura account.

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.

Enables an AI agent to read and query SAP OData services and SAP Business One Service Layer data such as business partners, products, items, sales and purchase orders, and invoices, plus gated creation and updates. Writes are disabled by default, support dry-run payload preview, and are verified by an independent read-back, with credentials kept out of tool arguments and local mocks allowing the whole stack to be exercised without a SAP account.

A Model Context Protocol server that connects AI tools to Electronic Health Records using SMART on FHIR, allowing secure searching, querying, and analysis of patient data from compatible EHRs.

A collection of FastMCP servers for Todo and Postgres, managed with uv and supporting hot reload for development.