"Communicating with EHR systems like Epic using FHIR API" matching MCP servers:

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.

Enables access to mock Epic patient data through 15 MCP tools with two-tier access (list summaries, then fetch details) and LLM-powered natural language search across allergies, medications, conditions, clinical notes, labs, vitals, and procedures.

Enables AI agents to securely interact with FHIR R4-based EMRs, supporting read, search, create, and update operations on any FHIR resource type across systems like Epic, Cerner, and OpenEMR.

Exposes a FHIR endpoint as deterministic read-only tools, providing a context layer for retrieving clinical data from FHIR servers.

Enables interaction with FHIR servers to access, search, and manage FHIR resources, including appointment scheduling and cancellation.

A comprehensive MCP server that bridges AI applications with FHIR healthcare data systems, enabling patient data access, clinical data retrieval, and data quality assessment.

Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.

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.

MCP server for FHIR interoperability, enabling natural language querying and manipulation of clinical data with full CRUD operations, semantic search, and RAG capabilities.

Three composable MCP servers for clinical AI — FHIR R4 read/search/validate, medical terminology (LOINC/SNOMED/RxNorm/ICD-10), and drug safety reasoning (interactions, dose check, allergy). Apache-2.0, production-ready.

Enables interaction with FHIR APIs, specifically for Oracle Millennium Platform, providing tools to access and manage healthcare data such as patient records, clinical data, and administrative information.

Enables MCP clients to search FHIR R4 patients and observations, access patient data as resources, and generate clinical summaries through prompts, using a public HAPI FHIR sandbox.

Enables read-only SMART on FHIR R4 discovery, search, and read operations against public synthetic sandboxes, returning actual empty results and 404s rather than inventing patient data.

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.

Enables AI applications to query and retrieve healthcare data (patients, conditions, observations, medications) from a public FHIR R4 server via MCP tools.

Enables progressive discovery and management of FHIR healthcare resources through intent-based grouping, with support for creating/validating resources, converting between formats, and transforming medical PDFs to FHIR DocumentReference resources.

Provides FHIR Implementation Guide facts via MCP tools, enabling querying of must-support, bindings, constraints, and value-set usage from StructureDefinition artifacts for conformance and testing support.

Enables natural-language queries about a patient, their insulin pump or other devices, and consent to share their data, with answers retrieved in real time from a FHIR R4 endpoint.

Enables healthcare systems to parse HL7 v2 messages, convert them to FHIR R4 Bundles, validate FHIR resources, and detect/govern PHI with HIPAA, EU MDR, and GDPR compliance evidence for AI governance.