Azure AHDS FHIR MCP Server
Сервер Azure AHDS FHIR MCP 🚀
Реализация сервера Model Context Protocol (MCP) для Azure Health Data Services FHIR (Fast Healthcare Interoperability Resources). Эта служба предоставляет стандартизированный интерфейс для взаимодействия с серверами Azure FHIR, позволяя выполнять операции с данными здравоохранения с помощью инструментов MCP.
Настройка 🛠️
Установка 📦
Требуется Python 3.13 или выше.
Установите пакет с помощью pip :
pip install azure-fhir-mcp-serverКонфигурация MCP ⚙️
Конфигурация рабочего стола Клода
1 - Изменить конфигурацию рабочего стола Клода:
Откройте claude_desktop_config.json и добавьте следующую конфигурацию.
На MacOs файл находится здесь: ~/Library/Application Support/Claude Desktop/claude_desktop_config.json .
В Windows файл находится здесь: %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"
}
}
}
}Ниже приведена таблица доступных переменных конфигурации среды:
Переменная | Описание | По умолчанию |
| Уровень ведения журнала |
|
| URL-адрес сервера Azure FHIR | Необходимый |
| Идентификатор клиента OAuth2 | Необходимый |
| Секрет клиента OAuth2 | Необходимый |
| Идентификатор клиента Azure AD | Необходимый |
2 — Перезапустите Claude Desktop.
Доступные инструменты 🔧
Операции с ресурсами FHIR
search_fhir— Поиск ресурсов FHIR на основе словаря параметров поиска
Доступ к ресурсам
Сервер обеспечивает доступ ко всем стандартным ресурсам FHIR через протокол ресурсов MCP:
fhir://Patient/— Доступ ко всем ресурсам для пациентовfhir://Patient/{id}— доступ к определенному ресурсу пациентаfhir://Observation/- Доступ ко всем ресурсам Observationfhir://Observation/{id}— доступ к определенному ресурсу Observationfhir://Medication/- Доступ ко всем ресурсам по лекарствамfhir://Medication/{id}— доступ к определенному ресурсу по лекарствамИ многое другое...
Related MCP server: Smart EHR MCP Server
Развитие 💻
Настройка локального развития
1 — Клонировать репозиторий:
git clone https://github.com/erikhoward/azure-fhir-mcp-server.git
cd azure-fhir-mcp-server2 — Создайте и активируйте виртуальную среду:
Linux/macOS:
python -m venv .venv
source .venv/bin/activateОкна:
python -m venv .venv
.venv\Scripts\activate3 - Установка зависимостей:
pip install -e ".[dev]"4 — Скопируйте и настройте переменные среды:
cp .env.example .envОтредактируйте .env, используя ваши настройки:
fhirUrl=https://your-fhir-server.azurehealthcareapis.com/fhir
clientId=your-client-id
clientSecret=your-client-secret
tenantId=your-tenant-id5 - Конфигурация рабочего стола Клода
Откройте claude_desktop_config.json и добавьте следующую конфигурацию.
На MacOs файл находится здесь: ~/Library/Application Support/Claude Desktop/claude_desktop_config.json .
В Windows файл находится здесь: %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 - Перезапустите Claude Desktop.
Вклады 🤝
Вклады приветствуются! Пожалуйста, не стесняйтесь отправлять запрос на включение.
Форк репозитория
Создайте ветку функций (
git checkout -b feature/AmazingFeature)Зафиксируйте свои изменения (
git commit -m '✨ Add some AmazingFeature')Отправка в ветку (
git push origin feature/AmazingFeature)Открыть запрос на извлечение
Лицензия ⚖️
Лицензия MIT — см. файл LICENSE.md .
Это не официальный продукт Microsoft или Azure.
Available Tools
1 toolsearch_fhirA
Search FHIR resources using comprehensive Azure FHIR search capabilities.
Supports resource-specific and common search parameters, modifiers, prefixes, chained searches, and result management. Returns paginated results in FHIR searchset bundles.
Key Features: • Resource-specific and common search parameters (_id, _lastUpdated, _tag, etc.) • Search modifiers (:missing, :exact, :contains, :text, :not, etc.) • Prefixes for ordered parameters (gt, lt, ge, le, etc.) • Chained searches (e.g., Encounter?subject:Patient.name=Jane) • Reverse chained searches using _has parameter • Include and revinclude searches (_include, _revinclude) • Result parameters (_count, _sort, _elements, _summary, _total) • Composite search parameters for complex queries • Pagination support with configurable page sizes (max 1000)
Args: resource_type: FHIR resource type to search (e.g., 'Patient', 'Observation', 'Condition') search_params: Dictionary of FHIR search parameters. Common examples: • {"name": "Smith", "_count": 50} - Search patients by name, limit 50 results • {"birthdate": "gt1990-01-01", "_sort": "birthdate"} - Patients born after 1990, sorted • {"identifier": "12345", "_include": "Patient:general-practitioner"} - Include GP • {"code": "77386006", "_include": "Observation:subject"} - Pregnancy observations with patients • {"_lastUpdated": "gt2024-01-01"} - Resources updated after date ctx: MCP Context for logging and progress reporting
Returns: List of matching FHIR resources extracted from searchset Bundle
| Name | Required | Description | Default |
|---|---|---|---|
| resource_type | Yes | ||
| search_params | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: it returns paginated results in FHIR searchset bundles, supports configurable page sizes (max 1000), and handles complex search capabilities. It doesn't mention authentication needs, rate limits, or error handling, but covers most operational aspects well for a search tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with clear sections (overview, key features, args, returns) and uses bullet points for readability. It's appropriately sized for a complex tool but could be slightly more concise—some bullet points are verbose. Overall, it's front-loaded with purpose and efficiently organized, with most sentences earning their place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (FHIR search with many features), no annotations, and an output schema present, the description is highly complete. It covers purpose, features, parameters with examples, and return values, compensating for the lack of annotations. The output schema means it doesn't need to detail return structures, and it provides enough context for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage, so the description must fully compensate. It excels by providing detailed parameter semantics: it explains 'resource_type' as 'FHIR resource type to search' with examples, and 'search_params' as a dictionary with comprehensive examples and common use cases. The 'Args' section adds significant value beyond the bare schema, making parameters clear and actionable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Search FHIR resources using comprehensive Azure FHIR search capabilities.' It specifies the verb ('search'), resource ('FHIR resources'), and platform ('Azure FHIR'), making it highly specific. With no sibling tools, it doesn't need differentiation, but the description is comprehensive and unambiguous about what the tool does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context through its detailed feature list and examples, suggesting it's for complex FHIR queries. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., simpler queries or other FHIR operations). With no sibling tools, this is less critical, but it doesn't provide clear exclusions or prerequisites, leaving usage somewhat open-ended.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- Changed
search_fhir3 fields changed- removed
Input schema / properties / resource_type / titleRemoved value: -"Resource Type" - removed
Input schema / properties / search_params / titleRemoved value: -"Search Params" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "properties": { + "result": { + "items": { + "additionalProperties": true, + "type": "object" + }, + "type": "array" + } + }, + "required": [ + "result" + ], + "type": "object", + "x-fastmcp-wrap-result": true +}
1 tool update
- First observed
search_fhir
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'search_fhir' has a clearly defined purpose focused on FHIR search operations.
The naming follows a consistent snake_case pattern with a clear verb_noun structure ('search_fhir'). With only one tool, there is no inconsistency to evaluate.
A single tool for an FHIR server is insufficient for comprehensive coverage of FHIR operations. FHIR domains typically require CRUD operations (create, read, update, delete) and other interactions beyond just search, making this server feel thin and incomplete for its purpose.
The tool surface is severely incomplete for an FHIR server. While the search functionality is detailed, there are significant gaps in basic FHIR operations like creating, reading, updating, or deleting resources, which are essential for full FHIR lifecycle management.
Maintenance
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