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.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。