MCP Cliniko Server
Provides comprehensive integration with the Cliniko API for healthcare practice management, including patient, appointment, and invoice administration. It enables tools for complex clinical workflows and direct access to practice resources through the Model Context Protocol.
README
MCP Cliniko Server
A Model Context Protocol (MCP) server that provides integration with the Cliniko API for healthcare practice management.
Features
Tools (Actions)
-
Patient Management
list_patients- Search and list patientsget_patient- Get patient by IDcreate_patient- Create new patientupdate_patient- Update patient detailsdelete_patient- Archive patient
-
Appointment Management
list_appointments- Search and list appointmentsget_appointment- Get appointment by IDcreate_appointment- Book new appointmentupdate_appointment- Modify appointmentcancel_appointment- Cancel appointmentdelete_appointment- Delete appointmentget_available_times- Get practitioner availability
-
Invoice Management
list_invoices- List and filter invoicesget_invoice- Get invoice detailscreate_invoice- Create new invoiceupdate_invoice- Update invoice status or detailsdelete_invoice- Delete draft invoice
-
Invoice Items
list_invoice_items- List items on an invoiceadd_invoice_item- Add item to invoiceupdate_invoice_item- Modify invoice itemdelete_invoice_item- Remove item from invoice
-
Payment Processing
list_payments- List payments with filteringcreate_payment- Record a paymentdelete_payment- Delete payment record
-
Products & Services
list_products- List billable products/servicesget_product- Get product detailscreate_product- Create new product/service
-
Tax Configuration
list_taxes- List available tax ratesget_tax- Get tax details
-
Complex Workflows
create_invoice_from_appointments- Generate invoices from appointmentsbulk_invoice_generation- Bulk create invoices for date rangelist_patient_cases- List patient caseslist_invoices_for_case- Get invoices for a case
-
Supporting Tools
list_practitioners- List all practitionerslist_appointment_types- List appointment typeslist_businesses- List businesses
-
Test Data
generate_test_data- Generate synthetic Australian healthcare datacleanup_test_data- Remove test patients
Resources (Data Access)
patient://{id}- Individual patient datapatients://list- All patientsappointment://{id}- Individual appointmentappointments://list- All appointmentsappointments://today- Today's appointmentspractitioners://list- All practitionersbusinesses://list- All businessesappointment-types://list- All appointment typesopenapi://spec- Cliniko API OpenAPI specification (YAML format)
Installation
- Clone the repository:
git clone https://github.com/yourusername/mcp-cliniko.git
cd mcp-cliniko
- Install dependencies:
npm install
- Set up your Cliniko API key:
cp .env.example .env
# Edit .env and add your Cliniko API key
- Build the project:
npm run build
Configuration
Environment Variables
CLINIKO_API_KEY- Your Cliniko API key (required)
Getting a Cliniko API Key
- Log into your Cliniko account
- Go to Settings → Integrations → API Keys
- Create a new API key
- Copy the key to your
.envfile
Usage
Development Mode
npm run dev
Production Mode
npm start
Testing with MCP Inspector
npm run inspect
Integration with Claude Desktop
Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"cliniko": {
"command": "node",
"args": ["/path/to/mcp-cliniko/dist/index.js"],
"env": {
"CLINIKO_API_KEY": "your-api-key-here"
}
}
}
}
Examples
Using Tools
List Patients:
{
"tool": "list_patients",
"arguments": {
"q": "Smith",
"per_page": 10
}
}
Create Patient:
{
"tool": "create_patient",
"arguments": {
"first_name": "John",
"last_name": "Doe",
"email": "john.doe@example.com",
"phone_number": "0412345678",
"date_of_birth": "1980-01-15",
"medicare_number": "1234567890"
}
}
Book Appointment:
{
"tool": "create_appointment",
"arguments": {
"starts_at": "2024-01-20T10:00:00Z",
"patient_id": 123,
"practitioner_id": 456,
"appointment_type_id": 789,
"business_id": 101
}
}
Generate Test Data:
{
"tool": "generate_test_data",
"arguments": {
"num_patients": 5,
"num_appointments": 10,
"days_ahead": 7
}
}
Using Resources
Resources provide read-only access to Cliniko data:
patient://123- Get patient with ID 123patients://list- List all patientsappointments://today- Get today's appointments
API Rate Limits
Cliniko API has a rate limit of 200 requests per minute. The server does not implement rate limiting internally, so be mindful of this limit when making bulk operations.
Error Handling
The server uses standard HTTP error conventions:
- 400 - Bad Request
- 401 - Unauthorized (check API key)
- 404 - Resource not found
- 429 - Rate limit exceeded
- 500 - Internal server error
Development
Project Structure
mcp-cliniko/
├── src/
│ ├── index.ts # Main server
│ ├── cliniko-client.ts # API client
│ ├── types.ts # TypeScript types
│ ├── tools/ # MCP tools
│ │ ├── patients.ts
│ │ ├── appointments.ts
│ │ └── synthetic-data.ts
│ └── resources/ # MCP resources
│ └── index.ts
├── dist/ # Compiled JavaScript
├── package.json
├── tsconfig.json
└── .env
Building
npm run build
Type Checking
npx tsc --noEmit
License
MIT
Support
For Cliniko API documentation, visit: https://docs.api.cliniko.com/
For MCP documentation, visit: https://modelcontextprotocol.io/# mcp-cliniko
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.