Works with OpenAI, Anthropic, and Azure AI Foundry

Secure Clinical Data Infrastructure for AI Agents

The enterprise bridge between health records and LLMs. Deliver FHIR-based patient context to your AI models—safely, securely, and instantly.

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OAuth2 Secured

FHIR Native

Enterprise Ready

The Interoperability Gap

Health Systems want AI, but the data is locked away.

Deploying compliant AI tools requires overcoming significant barriers in data security and normalization.

Compliance Risks

Direct EHR connections pose security vulnerabilities without a dedicated mediation layer.

Fragmented Data

Unstructured clinical data causes LLM hallucinations. AI needs clean, normalized inputs.

Integration Fatigue

Building custom pipelines for every model (GPT, Claude, Azure) is inefficient and unscalable.

The Solution

The Carefluence MCP Server

An Enterprise-grade Model Context Protocol (MCP) server built on FHIR & OpenAPI standards. We bridge the gap between health records and AI.

It’s not just an API—it’s an intelligence layer that allows AI agents to “request” data in real-time using standardized tool-calling.

AI-Ready Data

Transformations into clean FHIR structures for optimal LLM reasoning.

Cross-Agent Interoperability

Write once, deploy to GPTs, Claude, Azure AI, and LangChain.

Future-Proof Architecture

Swap AI models without modifying core data infrastructure.

carefluence-mcp-terminal

user: “Summarize the patient’s last 3 cardiology visits.”

agent_tool_call: carefluence.get_fhir_resources(patient_id=”123″, type=”Encounter”, specialty=”Cardiology”)

carefluence_mcp: { status: 200, data: [FHIR_JSON_Object] }
// Authorized via OAuth2. Scope: patient/read

agent_response: “Based on the FHIR data, the patient visited on…”

Enterprise-Grade Capabilities

Built on open standards to ensure security, speed, and scalability for healthcare AI.

OAuth2 & OpenID Secured

Granular control with patient and provider-level scopes ensures AI only sees authorized data. Built-in OpenID Server.

Tool-Calling Support

Enables AI agents to autonomously “request” specific data points in real-time during a conversation.

Data Normalization

We structure and normalize raw health data (HL7 v2, CCDA, CSV, JSON) into pristine FHIR resources.

Broad Compatibility

Native support for major AI frameworks: OpenAI GPTs, Claude, Azure AI, LangChain, and LangGraph.

Standard-Based

Built strictly on FHIR + OpenAPI standards. No proprietary lock-in, just clean interoperability.

Real-Time Delivery

Supports FHIR read, search, and workflow APIs to deliver context the moment it’s needed.

Who We Empower

Built on open standards to ensure security, speed, and scalability for healthcare AI.

Health Systems

Enable AI-augmented clinical workflows and deep patient insights without compromising security.

Telemedicine

Deliver intelligent virtual care experiences where the AI actually knows the patient’s history.

Digital Health

Integrate AI-driven monitoring, triage, and analytics into your RPM or digital health app.

Developers

Stop fighting with legacy data. Build secure, interoperable, healthcare-grade AI tools faster.

Forward-Looking Use Cases

See how Carefluence MCP transforms clinical workflows.

Explore all possibilities

Generative Clinical Decision Support

AI agents that can instantly summarize complex patient context and support clinicians with evidence-informed insights at the point of care.

Automated Documentation

Auto-generate accurate SOAP notes, discharge summaries, and care plans by feeding the AI the full clinical encounter context.

Intelligent Telemedicine Assistants

Context-aware AI chatbots that improve virtual visits by having access to real-time medical history during the conversation.

AI-Driven Population Health

Perform predictive analytics for risk scoring and community-wide insights using standardized data across your population.

Ready to make your applications AI-ready?

Stop building custom integrations. Start deploying intelligent, context-aware AI agents today.