Model Context ProtocolFHIR AI Integration

Connect Any AI Tool to Your FHIR EMR with MCP

The Model Context Protocol (MCP) is an open standard that lets AI tools call external systems in a structured, secure way. DrGodly ships with a built-in MCP server that exposes your entire FHIR EMR as a queryable, AI-accessible tool layer — with HIPAA compliance enforced at every call.

Browse MCP Tools

MCP

Open interoperability standard

6+

FHIR tools available

HIPAA

Scoped at every tool call

Real-time

Live FHIR data, no exports

What Is MCP?

The Standard for Connecting AI Tools to External Systems

The Model Context Protocol (MCP) is an open standard that defines how AI systems can discover and call tools exposed by external servers. Instead of building custom integrations for every AI system, you expose one MCP server — and any compatible AI tool can connect to it.

DrGodly's MCP server turns your FHIR EMR into a set of callable tools. An AI system can call get_patient, list_appointments, or get_intake_summary and receive structured FHIR data — no custom API contracts, no data exports, no PHI leakage.

One MCP server, compatible with any MCP-capable AI tool
Structured FHIR R4 data returned — not raw text
Every tool call is authenticated, scoped, and audited
Read and write tools available (writes require clinician approval)
drgodly-mcp-server
Running
[MCP] Server started. Exposing 6 FHIR tools.
[AUTH] Token validated → org-0028, scope: read:patient read:appointment
[TOOL] list_appointments called (practitioner_id: PRC-041, date: today)
[FHIR] → Returned 4 Appointment resources
[TOOL] get_intake_summary called (appointment_id: APT-00872)
[FHIR] → Returned 3 Observations + AI SOAP note
[AI] Reasoning: Patient reports 3-day headache, severity 7/10. Risk: moderate.
[TOOL] create_observation called → requires clinician approval
[AUTH] Clinician session confirmed → Observation written to FHIR
[WAIT] Listening for next tool call
How It Works

From AI Tool Call to FHIR Response in Milliseconds

01

AI Tool Client Connects

Any MCP-compatible AI tool client connects to the DrGodly MCP Server using a HIPAA-scoped authentication token issued to your organization.

02

Tools Are Discovered

The AI tool client receives the list of available FHIR tools — what they do, what they return, and what permissions they require.

03

AI Calls FHIR Tools

The AI tool client calls tools like get_patient or list_appointments. Each call is validated, logged, and executed against the live FHIR EMR.

04

Structured FHIR Data Returned

The tool returns structured FHIR R4 resources — not raw text or unstructured exports. The AI can reason over clean, queryable clinical data.

05

Human Oversight Enforced

Any tool call that writes or modifies FHIR resources requires a clinician-approved session. Read-only tool calls work within the authenticated scope.

Available Tools

MCP Tools Available on DrGodly

Each tool returns structured FHIR R4 data and is scoped to the authenticated organization to prevent cross-organization PHI access.

get_patient

Retrieve full FHIR Patient resource by ID or identifier

Returns: Patient (name, demographics, contact, identifiers)

HIPAA: Scoped to authenticated organization

list_appointments

List FHIR Appointments with optional status, date, and practitioner filters

Returns: Appointment[] (status, start, end, participants)

HIPAA: Patient-scoped or practitioner-scoped

get_intake_summary

Retrieve AI-generated intake summary and FHIR Observations for an appointment

Returns: Observation[], AI SOAP note, risk assessment

HIPAA: Appointment-scoped — no cross-patient access

get_encounter

Retrieve a completed FHIR Encounter with clinical notes and diagnoses

Returns: Encounter (SOAP note, conditions, assessment plan)

HIPAA: Encounter-scoped read access

create_observation

Create a new FHIR Observation resource from AI-extracted clinical data

Returns: Created Observation (id, status, effectiveDateTime)

HIPAA: Requires clinician-approved session token

list_conditions

List active FHIR Conditions for a patient, with SNOMED CT codes

Returns: Condition[] (code, severity, onsetDateTime, clinicalStatus)

HIPAA: Patient-scoped with minimum necessary access

What You Can Build with DrGodly MCP

Clinical Decision Support

An AI tool queries patient history, active conditions, and recent observations to surface risk factors and suggest evidence-based next steps — before the doctor enters the room.

Automated Record Summarization

An AI tool retrieves all encounters and observations for a patient over the last 12 months and generates a concise clinical summary — in seconds, not minutes.

Custom Clinical Workflows

Healthcare developers can build custom AI workflows that read from and write to FHIR resources using standard MCP tool calls — no custom API contracts needed.

Third-Party AI Integration

Connect any MCP-compatible AI system to your FHIR EMR. Your existing AI tooling can query DrGodly clinical data without proprietary integrations or data exports.

Ready to Connect Your AI Tooling to FHIR?

Start using the DrGodly MCP server to query live FHIR records from any MCP-compatible AI tool — securely and without custom integrations.