"World Health Organization" matching MCP servers:

Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.

Query your Apple Health data including sleep, heart rate, steps, workouts, and more by ingesting an exported XML archive into a local SQLite database.

Read-only MCP server enabling natural language querying of personal health and cultural activity scores from the health.ojimpo.com dashboard via Claude.

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

MCP server to read daily activity, sleep, heart rate, and body metrics from Google Health API, allowing AI assistants like Claude to access your health data. Optionally syncs health metrics to an Obsidian vault.

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.

Enables AI agents to securely read and analyze your Google Health data from Fitbit, Pixel Watch, and Health Connect, providing baseline-aware insights, readiness scores, trends, and anomalies while keeping data local and read-only.

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.

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.

Provides local, read-only MCP access to Google Health API v4, enabling users to query recorded workouts, heart-rate samples, and related health data through natural language in an MCP client.

Fetches body composition data (weight, body fat percentage) from the Tanita Health Planet API and exposes it as MCP tools for AI agents like Claude Desktop.

Local-first MCP server that reads Apple Health export files (export.xml/zip) and exposes activity, sleep, HRV, and workout data to AI agents, keeping all data on your machine.

Enables agents to locally analyze Huawei Health export data, retrieve activity summaries, tracks, samples, and health context, and generate structured report evidence with optional environmental data.

Read your Samsung Health CSV/ZIP exports — activity, sleep, heart, stress — locally. It is a local-first MCP server that keeps your tokens on your machine.

An MCP server that locally authenticates with Google Health API v4 and provides read-only access to Fitbit, Pixel Watch, and other health data for AI agents.

Read-only MCP server exposing daily health facts, 7/28-day baselines, and deterministic daily pulse from Google Health API data.

Enables AI agents to query Kenya health facilities, maternal health indicators, immunization coverage, and disease surveillance data via the DHIS2 public API.

Enables Claude to answer natural language questions about your Apple Health data by analyzing local CSV exports, supporting metrics like steps, heart rate, sleep, and more.

Enables users to query Apple Health metrics, workouts, and trends from CSV files exported via the Health Auto Export app. It allows MCP clients to analyze health data such as heart rate, sleep stages, and activity levels directly from local iCloud Drive storage.

Provides AI assistants access to 1.6 million Swiss health insurance premium records from 55 insurers across 11 years (2016-2026), enabling price comparisons, historical analysis, and finding the cheapest insurance options based on location, age, and coverage preferences.