MCP Healthcare Server

MCP医疗保健服务器

MCP（模型上下文协议）服务器，使LLM能够实时访问医疗保健数据——药物相互作用、ICD-10代码、FDA不良事件、医疗保险统计数据和临床指南。


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什么是MCP？

模型上下文协议（MCP） 是Anthropic的一个开放标准，用于将LLM连接到外部数据源和工具。MCP允许LLM动态调用工具来获取实时信息，而不是将数据硬编码到提示中。

此服务器公开 6种医疗保健工具 任何兼容MCP的客户端（Claude Desktop、Cursor等）都可以使用。

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可用工具

所有API都是 免费且不需要API密钥.

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快速开始

与Claude Desktop一起使用

1. 安装服务器：

git clone https://github.com/shinegami-2002/mcp-healthcare-server.git
cd mcp-healthcare-server
pip install -e .

1. 添加到您的Claude桌面配置(~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "healthcare": {
      "command": "python",
      "args": ["/absolute/path/to/mcp-healthcare-server/src/server.py"]
    }
  }
}

1. 重新启动克劳德桌面。现在，您将在工具选择器中看到可用的医疗保健工具。

使用Docker

docker build -t mcp-healthcare .
docker run mcp-healthcare

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示例输出

药物相互作用检查

> drug_interaction("warfarin", "aspirin")

## Drug Interaction: Warfarin  Aspirin

**Coumadin** (warfarin):
Drugs may interact with warfarin sodium through pharmacodynamic or
pharmacokinetic mechanisms. Pharmacodynamic mechanisms for drug interactions
with warfarin sodium include synergism (impaired hemostasis, reduced
clotting factor synthesis), competitive antagonism...

ICD-10代码查找

> icd10_lookup("E11")

Codes matching 'E11':
- **E11.00**: Type 2 diabetes mellitus with hyperosmolarity without NKHHC
- **E11.01**: Type 2 diabetes mellitus with hyperosmolarity with coma
- **E11.10**: Type 2 diabetes mellitus with ketoacidosis without coma
- **E11.21**: Type 2 diabetes mellitus with diabetic nephropathy
- **E11.9**: Type 2 diabetes mellitus without complications

美国食品药品监督管理局不良事件

> fda_adverse_events("ibuprofen", 3)

## FDA Adverse Events for Ibuprofen
*Source: openFDA (fda.gov)*

**Report 1** (Date: 2014-02-28)
- Serious: No
- Reactions: Dyspepsia, Renal impairment

**Report 2** (Date: 2014-03-12)
- Serious: No
- Reactions: Cholecystectomy, Nephrolithiasis, Biliary tract disorder

医疗保险D部分统计

> medicare_drug_statistics("Lipitor")

## Medicare Part D Statistics: Lipitor
*Source: CMS.gov (2023 data)*

- **Lipitor** (Atorvastatin Calcium) — Overall
  Total Claims (2023): 28,226
  Total Spending (2023): $32,942,704.71
  Avg Cost/Claim: $1,167.10
  Beneficiaries: 7,792

临床指南搜索

> clinical_guidelines("diabetes", 3)

## Clinical Guidelines: Diabetes
*Source: PubMed (3 results)*

**Type 1 Diabetes Mellitus and Cognitive Impairments: A Systematic Review.**
- Authors: Li W et al.
- Journal: J Alzheimers Dis
- Published: 2017
- Link: https://pubmed.ncbi.nlm.nih.gov/28222533/

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建筑

┌──────────────────────────┐
│     MCP Client           │
│  (Claude Desktop, etc.)  │
└────────┬─────────────────┘
         │ MCP Protocol (stdio)
┌────────▼─────────────────┐
│   MCP Healthcare Server  │
│   Python + FastMCP       │
│                          │
│   ┌─ drug_interaction    │──→ openFDA API
│   ├─ icd10_lookup        │──→ NLM Clinical Tables API
│   ├─ icd10_search        │──→ NLM Clinical Tables API
│   ├─ fda_adverse_events  │──→ openFDA API
│   ├─ medicare_drug_stats │──→ CMS.gov API
│   └─ clinical_guidelines │──→ PubMed E-utilities
└──────────────────────────┘

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项目结构

mcp-healthcare-server/
├── src/
│   ├── server.py                  # FastMCP server + tool definitions
│   └── tools/
│       ├── drug_interactions.py   # openFDA drug interaction queries
│       ├── icd_lookup.py          # ICD-10-CM code lookup/search (NLM API)
│       ├── adverse_events.py      # FDA adverse event reports
│       ├── medicare_stats.py      # CMS Medicare Part D data
│       └── clinical_guidelines.py # PubMed guideline search
├── tests/                         # Unit tests with mocked HTTP (respx)
├── .github/workflows/ci.yml      # GitHub Actions CI
├── pyproject.toml
├── Dockerfile
└── LICENSE

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发展

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Lint
ruff check src/ tests/

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技术栈

• Python 3.11+ --异步贯穿始终
• FastMCP --MCP服务器框架
• httpx --异步HTTP客户端
• 开放FDA API --药品标签、不良事件
• NLM临床表格API --ICD-10-CM编码（70k+编码）
• CMS.gov开放数据 --医疗保险D部分处方统计
• PubMed电子工具 --临床文献检索
• pytest+respx --使用模拟HTTP进行测试
• GitHub操作 --CI管道
• 码头工人 --集装箱化部署

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免责声明

此工具用于 仅用于信息和教育目的它不应用于医疗决策。始终咨询合格的医疗保健专业人员以获取医疗建议。

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许可证

MIT许可证——见 许可证 了解详情。

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建造于 Shanmukha Chatadi --MS CS@北卡罗来纳州'26