Skip to main content
Glama

Healthcare AI Superpower — MCP Server

Prompt Opinion · Agents Assemble Hackathon Clinical decision-support tools for any AI agent, powered by FHIR R4 and the Model Context Protocol.


What This Does

AI agents on the Prompt Opinion platform can call this MCP server to reason over live FHIR patient data without ever handling EHR credentials directly. The platform bridges the SMART on FHIR session into the server via the ai.promptopinion/fhir-context extension — the agent just asks a question, and this server handles the rest.

Five clinical tools, one endpoint:

Tool

Clinical Use Case

fhir_query

Raw FHIR R4 resource retrieval (any resource type)

medication_review

Drug interactions · Beers Criteria · duplicate therapy · missing safety labs

summarize_clinical_notes

Structured extraction from FHIR DocumentReference notes

schedule_appointment

List, create, or cancel FHIR Appointment resources

identify_care_gaps

HEDIS · CMS · USPSTF quality gap identification


Related MCP server: openemr-mcp

Live Endpoints

URL

MCP Server

https://3a36e605-0c25-4400-ba89-a8f448f14c7b-00-3wj4nqft3ggq.sisko.replit.dev/api/mcp

Tools Listing

https://3a36e605-0c25-4400-ba89-a8f448f14c7b-00-3wj4nqft3ggq.sisko.replit.dev/api/mcp/tools

Health Check

https://3a36e605-0c25-4400-ba89-a8f448f14c7b-00-3wj4nqft3ggq.sisko.replit.dev/api/healthz

Demo Dashboard

https://3a36e605-0c25-4400-ba89-a8f448f14c7b-00-3wj4nqft3ggq.sisko.replit.dev/


Architecture

Prompt Opinion Platform
        │
        │  initialize → detects ai.promptopinion/fhir-context extension
        │  tool/call  → injects X-FHIR-Server-URL, X-FHIR-Access-Token, X-Patient-ID
        ▼
┌─────────────────────────────────────────┐
│         Express API Server              │
│         POST /api/mcp                   │
│                                         │
│   ┌─────────────────────────────────┐   │
│   │   MCP Streamable HTTP Transport │   │
│   │   (JSON-RPC 2.0 · 2024-11-05)   │   │
│   └────────────────┬────────────────┘   │
│                    │                    │
│   ┌────────────────▼────────────────┐   │
│   │        MCP Tool Router          │   │
│   │  fhir_query                     │   │
│   │  medication_review              │   │
│   │  summarize_clinical_notes       │   │
│   │  schedule_appointment           │   │
│   │  identify_care_gaps             │   │
│   └────────────────┬────────────────┘   │
│                    │                    │
│   ┌────────────────▼────────────────┐   │
│   │         FHIR Client             │   │
│   │  Real (Bearer token) ──► EHR    │   │
│   │  Mock (no token)    ──► Demo    │   │
│   └─────────────────────────────────┘   │
└─────────────────────────────────────────┘

Adding to Prompt Opinion

  1. Go to Configuration → MCP Servers in your Prompt Opinion workspace.

  2. Paste the MCP Server URL and click Continue. The platform sends an initialize request and reads the server's capabilities.

  3. A FHIR Context toggle appears — enable it.

  4. Review and authorize the SMART scopes your tools need.

  5. Done. Every subsequent tool call will carry live FHIR credentials in the headers.


Prompt Opinion FHIR Extension

The server advertises support in every initialize response:

{
  "capabilities": {
    "extensions": {
      "ai.promptopinion/fhir-context": {
        "scopes": [
          { "name": "patient/Patient.rs",           "required": true  },
          { "name": "patient/MedicationRequest.rs", "required": false },
          { "name": "patient/Condition.rs",         "required": false },
          { "name": "patient/Observation.rs",       "required": false },
          { "name": "patient/DocumentReference.rs", "required": false },
          { "name": "patient/Appointment.crus",     "required": false }
        ]
      }
    }
  }
}

Once authorized, Prompt Opinion injects these headers on every tool call:

Header

Description

X-FHIR-Server-URL

FHIR server base URL — always present

X-FHIR-Access-Token

OAuth2 bearer token — present when EHR requires auth

X-Patient-ID

Active patient's FHIR ID — absent means system-level context

X-FHIR-Refresh-Token

Refresh token — only if offline_access scope granted

X-FHIR-Refresh-Url

Token refresh endpoint — only if offline_access scope granted

When FHIR headers are absent the server falls back to built-in demo data, so tools always return a useful response.


Tool Reference

fhir_query

Raw FHIR R4 resource query for a patient.

{
  "resourceType": "MedicationRequest",
  "patientId": "patient-001",
  "params": { "status": "active" }
}

Supported: Patient · MedicationRequest · Condition · Observation · DocumentReference · Appointment


medication_review

Comprehensive medication safety analysis.

  • Drug-drug interaction detection (severity: HIGH / MODERATE / LOW)

  • High-risk medications via Beers Criteria

  • Duplicate therapeutic class detection

  • Missing safety lab flags (e.g. INR monitoring for Warfarin)

  • Prioritized clinical recommendations

{
  "patientId": "patient-001",
  "includeInactive": false
}

Example finding: Mary Johnson — HIGH Warfarin + Aspirin → increased bleeding risk, monitor INR closely.


summarize_clinical_notes

Retrieve and structure FHIR DocumentReference clinical notes.

Extracts: vitals · labs · active diagnoses · current medications · care plan · follow-up items

{
  "patientId": "patient-002",
  "noteType": "progress",
  "maxNotes": 5
}

schedule_appointment

Manage FHIR Appointment resources.

{
  "action": "create",
  "patientId": "patient-001",
  "newAppointment": {
    "startDateTime": "2026-06-01T10:00:00",
    "durationMinutes": 30,
    "serviceType": "Primary Care",
    "appointmentType": "FOLLOWUP",
    "providerName": "Dr. Sarah Mitchell",
    "reason": "Diabetes management follow-up"
  }
}

Actions: list · create · cancel


identify_care_gaps

Open quality gap identification aligned with HEDIS, CMS, and USPSTF guidelines.

{
  "patientId": "patient-001",
  "categories": ["all"]
}

Categories: preventive · chronic_disease · medications · behavioral_health · all

Example output (Mary Johnson): 11 open gaps including overdue HbA1c, missing annual diabetic eye exam, no flu vaccine on record, Warfarin without recent INR documentation.


Demo Patients

Built-in mock data is available at all times without a FHIR server.

Patient ID

Name

Profile

Clinical Highlight

patient-001

Mary Johnson

68F · DM2, HTN, AFib

HIGH Warfarin + Aspirin interaction · 11 care gaps

patient-002

Robert Chen

52M · DM2, HTN

HbA1c 9.2% (poorly controlled) · overdue labs

patient-003

Sandra Williams

40F · Depression, Chronic Pain

HIGH Sertraline + Tramadol serotonin syndrome risk


Quick Test (curl)

# 1. Verify the server is up
curl https://<domain>/api/healthz

# 2. Initialize and confirm the Prompt Opinion extension is declared
curl -X POST https://<domain>/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0", "id": 1, "method": "initialize",
    "params": {
      "protocolVersion": "2024-11-05",
      "capabilities": {},
      "clientInfo": { "name": "test", "version": "1.0" }
    }
  }'

# 3. Run the medication review tool (uses mock data — no FHIR token needed)
curl -X POST https://<domain>/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "X-Patient-ID: patient-003" \
  -d '{
    "jsonrpc": "2.0", "id": 2, "method": "tools/call",
    "params": {
      "name": "medication_review",
      "arguments": { "patientId": "patient-003" }
    }
  }'

Project Structure

artifacts/
├── api-server/                       # MCP server (Node 24 · Express 5 · esbuild)
│   └── src/
│       ├── mcp/
│       │   ├── server.ts             # Factory + Prompt Opinion extension declaration
│       │   ├── fhir/
│       │   │   ├── client.ts         # FHIR HTTP client with mock fallback
│       │   │   └── mock-data.ts      # Realistic FHIR R4 demo data
│       │   └── tools/
│       │       ├── fhir-query.ts
│       │       ├── medication-review.ts
│       │       ├── clinical-notes.ts
│       │       ├── appointments.ts
│       │       └── care-gaps.ts
│       └── routes/
│           ├── mcp.ts                # Streamable HTTP transport + FHIR header extraction
│           └── health.ts
│
└── healthcare-demo/                  # Interactive demo dashboard (React 19 · Vite 7)
    └── src/
        ├── pages/Dashboard.tsx       # Patient selector + live tool runner
        ├── lib/mcp-client.ts         # MCP JSON-RPC client
        ├── App.tsx
        └── index.css                 # Clinical teal/navy theme

Local Development

Requirements: Node.js 24 · pnpm 10+

# Install all workspace dependencies
pnpm install

# Run the MCP API server (proxied to /api by the Replit reverse proxy)
pnpm --filter @workspace/api-server run dev

# Run the demo dashboard (proxied to /)
pnpm --filter @workspace/healthcare-demo run dev

# Full TypeScript check across all packages
pnpm run typecheck

Stack

Layer

Technology

Runtime

Node.js 24

Language

TypeScript 5.9

MCP SDK

@modelcontextprotocol/sdk 1.29

Transport

Streamable HTTP (MCP 2024-11-05)

API framework

Express 5

Build

esbuild

Frontend

React 19 · Vite 7 · Tailwind CSS 4

Monorepo

pnpm workspaces


Hackathon

Built for the Prompt Opinion Agents Assemble Challenge — a $25,000 prize pool competition focused on MCP, A2A, and FHIR interoperability in healthcare AI.

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MiChaelinzo/MediLinkAI'

If you have feedback or need assistance with the MCP directory API, please join our Discord server