"Developing a FHIR-Based Digital Health Application with EHR, PHR, and Phenotyping Frameworks" matching MCP servers:

Provides read/write access to any FHIR-compliant healthcare API with built-in validation, supporting resource management, search operations, and granular permissions through natural language.

Enterprise-grade MCP Server for FHIR-based EMRs. Enables AI agents to read, search, create, and update any FHIR R4 resource across major EHR systems like EPIC, Cerner, and OpenEMR.

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 comprehensive Model Context Protocol server that provides universal access to multiple FHIR servers with AI-powered clinical analysis capabilities for healthcare data integration and patient care planning.

Provides seamless integration with FHIR APIs, enabling AI/LLM tools to search, retrieve, and analyze clinical healthcare data with support for SMART-on-FHIR authentication and multiple transport protocols.

Provides safe read-only access to synthetic healthcare data via FHIR R4, enabling AI assistants to search patients, retrieve vitals, and summarize conditions using a public sandbox.

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

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.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for FHIR (beta): https://www.cdata.com/download/download.aspx?sku=KIZK-V&type=beta

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.

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

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

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

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

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

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.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.