Openemr

PyPI Python 3.10+ License: MIT

Model Context Protocol (MCP) server for OpenEMR — connect any MCP-compatible AI assistant (Claude Desktop, Cursor, VS Code Copilot) directly to your OpenEMR instance.

Features

17 MCP tools covering:

Category	Tools
Patients	openemr_patient_search
Appointments	openemr_appointment_list
Medications	openemr_medication_list, openemr_drug_interaction_check
Providers	openemr_provider_search
FDA Safety	openemr_fda_adverse_events, openemr_fda_drug_label
Symptom Lookup	openemr_symptom_lookup
Drug Safety Flags	openemr_drug_safety_flag_create/list/update/delete
Clinical Trends	openemr_lab_trends, openemr_vital_trends, openemr_questionnaire_trends
Health Trajectory	openemr_health_trajectory
Visit Prep	openemr_visit_prep

All tools work in mock mode out of the box — no OpenEMR installation required for evaluation.

Quick Start

Install

pip install openemr-mcp
# or with uv:
uv add openemr-mcp

Run (stdio transport)

# Mock mode — no OpenEMR needed
OPENEMR_DATA_SOURCE=mock openemr-mcp

# Against a live OpenEMR FHIR API
OPENEMR_DATA_SOURCE=api \
  OPENEMR_API_BASE_URL=https://your-openemr/apis/default \
  OPENEMR_OAUTH_SITE=default \
  OPENEMR_OAUTH_CLIENT_ID=... \
  OPENEMR_OAUTH_CLIENT_SECRET=... \
  OPENEMR_OAUTH_USERNAME=admin \
  OPENEMR_OAUTH_PASSWORD=... \
  openemr-mcp

Claude Desktop Configuration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "openemr": {
      "command": "uvx",
      "args": ["openemr-mcp"],
      "env": {
        "OPENEMR_DATA_SOURCE": "api",
        "OPENEMR_API_BASE_URL": "https://your-openemr.example.com/apis/default",
        "OPENEMR_OAUTH_SITE": "default",
        "OPENEMR_OAUTH_CLIENT_ID": "your_client_id",
        "OPENEMR_OAUTH_CLIENT_SECRET": "your_client_secret",
        "OPENEMR_OAUTH_USERNAME": "admin",
        "OPENEMR_OAUTH_PASSWORD": "your_password"
      }
    }
  }
}

For mock mode (demo / evaluation):

{
  "mcpServers": {
    "openemr": {
      "command": "uvx",
      "args": ["openemr-mcp"],
      "env": {
        "OPENEMR_DATA_SOURCE": "mock"
      }
    }
  }
}

Data Sources

Patient / Clinical Data (OPENEMR_DATA_SOURCE)

Value	Description
mock (default)	Built-in curated demo data — 24 patients, no network required
db	Direct MySQL connection to OpenEMR database
api	OpenEMR FHIR R4 REST API (recommended for production)

Drug Interactions (DRUG_INTERACTION_SOURCE)

Value	Description
mock (default)	10 built-in drug pairs — always works, no network
openfda	OpenFDA FAERS co-reporting heuristic — free, no API key required. Severity based on co-report volume (HIGH ≥ 50, MODERATE ≥ 5). Note: Co-reporting indicates correlation, not definitive causation.
rxnorm	⚠️ DEPRECATED/UNAVAILABLE — RxNorm interaction API endpoints retired (returns 404)

Symptom Checker (SYMPTOM_SOURCE)

Value	Description
mock (default)	Curated local dataset — 10 clinical groups
infermedica	Infermedica Symptom Checker API (register here) — free tier 100 calls/day

FDA Data (OPENFDA_SOURCE)

Value	Description
mock (default)	Built-in mock data for 6 common drugs
live	Live OpenFDA API — free, optional key for higher rate limits

Environment Variables

See .env.example for the full list with comments.

Key variables:

# Data source
OPENEMR_DATA_SOURCE=mock        # mock | db | api

# MySQL (when OPENEMR_DATA_SOURCE=db)
OPENEMR_DB_HOST=localhost
OPENEMR_DB_PORT=3306
OPENEMR_DB_USER=openemr
OPENEMR_DB_PASSWORD=openemr
OPENEMR_DB_NAME=openemr

# FHIR API (when OPENEMR_DATA_SOURCE=api)
OPENEMR_API_BASE_URL=https://your-openemr/apis/default
OPENEMR_OAUTH_SITE=default
OPENEMR_OAUTH_CLIENT_ID=...
OPENEMR_OAUTH_CLIENT_SECRET=...
OPENEMR_OAUTH_USERNAME=admin
OPENEMR_OAUTH_PASSWORD=...

# Optional external APIs
DRUG_INTERACTION_SOURCE=mock    # mock | openfda | rxnorm (deprecated)
SYMPTOM_SOURCE=mock             # mock | infermedica
INFERMEDICA_APP_ID=
INFERMEDICA_APP_KEY=
OPENFDA_SOURCE=mock             # mock | live
OPENFDA_API_KEY=

Tool Reference

openemr_patient_search

Search patients by name. Returns patient ID, DOB, sex, city.

{ "query": "Jane" }

openemr_appointment_list

List upcoming appointments for a patient.

{ "patient_id": "p001" }

openemr_medication_list

Return the current medication list for a patient.

{ "patient_id": "p001" }

openemr_drug_interaction_check

Check a list of medications for known drug-drug interactions.

{ "medications": ["warfarin", "aspirin", "metformin"] }

openemr_provider_search

Search healthcare providers by specialty and/or location.

{ "specialty": "Cardiology", "location": "Boston" }

openemr_fda_adverse_events

Query FDA FAERS database for adverse event reports on a drug.

{ "drug_name": "metformin", "limit": 5 }

openemr_fda_drug_label

Retrieve official FDA drug label including boxed warnings and contraindications.

{ "drug_name": "warfarin" }

openemr_symptom_lookup

Look up possible conditions for a list of symptoms.

{ "symptoms": ["chest pain", "shortness of breath"] }

openemr_drug_safety_flag_create

Create a drug safety flag for a patient.

{
  "patient_id": "p001",
  "drug_name": "warfarin",
  "description": "Patient reported unusual bruising",
  "flag_type": "adverse_event",
  "severity": "HIGH"
}

openemr_drug_safety_flag_list

List all drug safety flags for a patient.

{ "patient_id": "p001", "status_filter": "active" }

openemr_drug_safety_flag_update

Update a drug safety flag's severity, description, or status.

{ "flag_id": "uuid-...", "severity": "MODERATE", "status": "resolved" }

openemr_drug_safety_flag_delete

Delete a drug safety flag by ID.

{ "flag_id": "uuid-..." }

openemr_lab_trends

Return longitudinal lab trajectories (A1c, LDL, eGFR).

{ "patient_id": "p001", "metrics": ["a1c", "ldl"], "window_months": 24 }

openemr_vital_trends

Return longitudinal vital sign trajectories (weight, BP).

{ "patient_id": "p001", "metrics": ["weight", "bp_systolic", "bp_diastolic"] }

openemr_questionnaire_trends

Return longitudinal questionnaire score trajectories (PHQ-9).

{ "patient_id": "p001", "instrument": "PHQ-9", "window_months": 24 }

openemr_health_trajectory

Aggregate all metric trajectories and compute clinical drift alerts.

{ "patient_id": "p001", "window_months": 24 }

openemr_visit_prep

Generate a pre-visit clinical brief: top risks, medication safety, care gaps, and suggested agenda.

{ "patient_id": "p001", "window_months": 24 }

Development

# Clone and install in editable mode
git clone https://github.com/shruti-jn/openemr-mcp
cd openemr-mcp
pip install -e ".[dev]"

# Run tests (mock mode, no external dependencies)
pytest

# Start server locally
OPENEMR_DATA_SOURCE=mock openemr-mcp

Architecture

src/openemr_mcp/
├── server.py              # MCP server — registers all 17 tools
├── config.py              # Pydantic-settings configuration
├── schemas.py             # All Pydantic response schemas
├── auth.py                # OpenEMR OAuth2 token manager
├── data_source.py         # Data source resolver
├── tools/                 # 13 tool modules (17 MCP tools)
├── repositories/          # Data access (MySQL, FHIR R4, SQLite)
└── services/              # Business logic (OpenFDA, trajectory alerts, visit prep)

Drug safety flags are persisted in a local SQLite database at ~/.openemr_mcp/drug_safety_flags.db.

License

MIT — see LICENSE.

Contributing

Pull requests welcome. Please open an issue first for major changes.

This project is part of the AgentForge OpenEMR AI toolkit.