
Azure AHDS FHIR MCP Server
A Model Context Protocol server that enables standardized interaction with Azure Health Data Services FHIR servers, allowing healthcare data operations through MCP tools.
README
Azure AHDS FHIR MCP Server 🚀
A Model Context Protocol (MCP) server implementation for Azure Health Data Services FHIR (Fast Healthcare Interoperability Resources). This service provides a standardized interface for interacting with Azure FHIR servers, enabling healthcare data operations through MCP tools.
Setup 🛠️
Installation 📦
Requires Python 3.13 or higher.
Install the package using pip
:
pip install azure-fhir-mcp-server
MCP Configuration ⚙️
Claude Desktop Configuration
1 - Edit Claude Desktop Configuration:
Open claude_desktop_config.json
and add the following configuration.
On MacOs, the file is located here: ~/Library/Application Support/Claude Desktop/claude_desktop_config.json
.
On Windows, the file is located here: %APPDATA%\Claude Desktop\claude_desktop_config.json
.
{
"mcpServers": {
"fhir": {
"command": "azure-fhir-mcp-server",
"env": {
"LOG_LEVEL": "INFO",
"fhirUrl": "https://your-fhir-server.azurehealthcareapis.com/fhir",
"clientId": "your-client-id",
"clientSecret": "your-client-secret",
"tenantId": "your-tenant-id"
}
}
}
}
The following is a table of available environment configuration variables:
Variable | Description | Default |
---|---|---|
LOG_LEVEL |
Logging level | INFO |
fhirUrl |
Azure FHIR server URL | Required |
clientId |
OAuth2 client ID | Required |
clientSecret |
OAuth2 client secret | Required |
tenantId |
Azure AD tenant ID | Required |
2 - Restart Claude Desktop.
Available Tools 🔧
FHIR Resource Operations
search_fhir
- Search for FHIR resources based on a dictionary of search parameters
Resource Access
The server provides access to all standard FHIR resources through the MCP resource protocol:
fhir://Patient/
- Access all Patient resourcesfhir://Patient/{id}
- Access a specific Patient resourcefhir://Observation/
- Access all Observation resourcesfhir://Observation/{id}
- Access a specific Observation resourcefhir://Medication/
- Access all Medication resourcesfhir://Medication/{id}
- Access a specific Medication resource- And many more...
Development 💻
Local Development Setup
1 - Clone the repository:
git clone https://github.com/erikhoward/azure-fhir-mcp-server.git
cd azure-fhir-mcp-server
2 - Create and activate virtual environment:
Linux/macOS:
python -m venv .venv
source .venv/bin/activate
Windows:
python -m venv .venv
.venv\Scripts\activate
3 - Install dependencies:
pip install -e ".[dev]"
4 - Copy and configure environment variables:
cp .env.example .env
Edit .env with your settings:
fhirUrl=https://your-fhir-server.azurehealthcareapis.com/fhir
clientId=your-client-id
clientSecret=your-client-secret
tenantId=your-tenant-id
5 - Claude Desktop Configuration
Open claude_desktop_config.json
and add the following configuration.
On MacOs, the file is located here: ~/Library/Application Support/Claude Desktop/claude_desktop_config.json
.
On Windows, the file is located here: %APPDATA%\Claude Desktop\claude_desktop_config.json
.
{
"mcpServers": {
"fhir": {
"command": "python",
"args": [
"-m",
"fhir_mcp_server.server"
],
"cwd": "/path/to/azure-fhir-mcp-server/repo",
"env": {
"LOG_LEVEL": "DEBUG",
"fhirUrl": "https://your-fhir-server.azurehealthcareapis.com/fhir",
"clientId": "your-client-id",
"clientSecret": "your-client-secret",
"tenantId": "your-tenant-id"
}
}
}
}
6 - Restart Claude Desktop.
Contributions 🤝
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature
) - Commit your changes (
git commit -m '✨ Add some AmazingFeature'
) - Push to the branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
License ⚖️
Licensed under MIT - see LICENSE.md file.
This is not an official Microsoft or Azure product.
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.