"World Health Organization" matching MCP servers:

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.

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 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.

Provides structured access to a World Cup SQLite database via MCP tools, enabling queries for tournaments, team histories, head-to-head matches, and player records.

Enables Claude to ingest a local Samsung Health export into DuckDB and query monthly trends, period comparisons, trips, sleep timing, activity profiles, workouts, and custom read-only SQL while keeping raw data on the user's machine. It also generates a dashboard artifact with actionable next steps based on the user's aggregates.

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.

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.

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.

Provides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.

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 assistants to query a synthetic health-insurance claims database through five strictly read-only, parameterized MCP tools, with API-key authentication, per-tool authorization, rate limiting, and fail-closed audit logging. All access is mediated so clients never receive direct SQL or database access.

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.

An MCP server that integrates Turso databases with LLMs, supporting organization and database-level operations with two-level authentication.

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

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.

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.

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.

An MCP server that gives models semantic context about a data warehouse, including table meaning, units, lineage, and health, to reduce guessing.

Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.

MCP server to ask research questions about real-world datasets and get actual database records back, with auto-registration and trial credit.

A Model Context Protocol server providing tools for DB queries, API calls, file I/O, and text transformations, enabling AI agents like Claude to perform real-world actions.

A Model Context Protocol server that enables standardized interaction with Azure Health Data Services FHIR servers, allowing healthcare data operations through MCP tools.

Enables AI agents to explore licensed IP intelligence databases through four read-only tools: listing the databases an organization is licensed for, inspecting a database's columns, sample rows, row count and build date, fetching published checksums for verifying a local copy, and reviewing recent download attempts. It covers VPN, proxy, hosting, CDN and relay address space data without transferring the multi-gigabyte files themselves.

MCP server providing deep PostgreSQL context to AI assistants, including schema DDL, index health, foreign key associations, query execution plans, and performance statistics via read-only tools.

Read-only MCP server for on-prem Linux VMs and PostgreSQL over SSH. Check service health, retrieve bounded logs, inspect DB state, and explore table schemas — without terminal access.

Enables querying and exploring KairosDB time-series data through natural language, including range/absolute queries, aggregations, last values, metric and tag listing, and health checks.