MCP Healthcare Server

An MCP (Model Context Protocol) server that gives LLMs real-time access to healthcare data — drug interactions, ICD-10 codes, FDA adverse events, Medicare statistics, and clinical guidelines.

What is MCP?

Model Context Protocol (MCP) is an open standard by Anthropic for connecting LLMs to external data sources and tools. Instead of hardcoding data into prompts, MCP lets LLMs dynamically call tools to fetch real-time information.

This server exposes 6 healthcare tools that any MCP-compatible client (Claude Desktop, Cursor, etc.) can use.

Available Tools

All APIs are free and require no API keys.

Quick Start

Use with Claude Desktop

1. Install the server:

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

2. Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

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

3. Restart Claude Desktop. You'll now see healthcare tools available in the tool picker.

Use with Docker

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

Example Output

Drug Interaction Check

> 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 Code Lookup

> 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

FDA Adverse Events

> 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

Medicare Part D Statistics

> 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

Clinical Guidelines Search

> 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/

Architecture

┌──────────────────────────┐
│     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
└──────────────────────────┘

Project Structure

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

Development

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

# Run tests
pytest tests/ -v

# Lint
ruff check src/ tests/

Tech Stack

• Python 3.11+ — async throughout
• FastMCP — MCP server framework
• httpx — async HTTP client
• openFDA API — drug labels, adverse events
• NLM Clinical Tables API — ICD-10-CM codes (70k+ codes)
• CMS.gov Open Data — Medicare Part D prescribing statistics
• PubMed E-utilities — clinical literature search
• pytest + respx — testing with mocked HTTP
• GitHub Actions — CI pipeline
• Docker — containerized deployment

Disclaimer

This tool is for informational and educational purposes only. It should NOT be used for medical decision-making. Always consult qualified healthcare professionals for medical advice.

License

MIT License — see LICENSE for details.

Built by Shanmukha Chatadi — MS CS @ NC State '26