healthcare-mcp-public

Healthcare MCP Server

A Model Context Protocol (MCP) server providing AI assistants with access to healthcare data and medical information tools.

Overview

Healthcare MCP Server is a specialized server that implements the Model Context Protocol (MCP) to provide AI assistants with access to healthcare data and medical information tools. It enables AI models to retrieve accurate, up-to-date medical information from authoritative sources.

Features

• FDA Drug Information: Search and retrieve comprehensive drug information from the FDA database
• PubMed Research: Search medical literature from PubMed's database of scientific articles
• Health Topics: Access evidence-based health information from Health.gov
• Clinical Trials: Search for ongoing and completed clinical trials
• Medical Terminology: Look up ICD-10 codes and medical terminology definitions
• Caching: Efficient caching system with connection pooling to reduce API calls and improve performance
• Usage Tracking: Anonymous usage tracking to monitor API usage
• Error Handling: Robust error handling and logging
• Multiple Interfaces: Support for both stdio (for CLI) and HTTP/SSE interfaces
• API Documentation: Interactive API documentation with Swagger UI
• Comprehensive Testing: Extensive test suite with pytest and coverage reporting

Installation

Installing via Smithery

To install Healthcare Data and Medical Information Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Cicatriiz/healthcare-mcp-public --client claude

Manual Installation

1. Clone the repository:

   git clone https://github.com/Cicatriiz/healthcare-mcp-public.git
   cd healthcare-mcp-public
   

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Set up environment variables (optional):

   # Create .env file from example
   cp .env.example .env
   # Edit .env with your API keys (optional)
   

5. Run the server:

   python run.py
   

Usage

Running in Different Transport Modes

• stdio mode (default, for Cline):

  python run.py
  

• HTTP/SSE mode (for web clients):

  python run.py --http --port 8000
  

Testing the Tools

You can test the MCP tools using the new pytest-based test suite:

# Run all tests with pytest and coverage
python -m tests.run_tests --pytest

# Run a specific test file
python -m tests.run_tests --test test_fda_tool.py

# Test the HTTP server
python -m tests.run_tests --server --port 8000

For backward compatibility, you can still run the old tests:

# Run all tests (old style)
python -m tests.run_tests

# Test individual tools (old style)
python -m tests.run_tests --fda        # Test FDA drug lookup
python -m tests.run_tests --pubmed     # Test PubMed search
python -m tests.run_tests --health     # Test Health Topics
python -m tests.run_tests --trials     # Test Clinical Trials search
python -m tests.run_tests --icd        # Test ICD-10 code lookup

API Reference

The Healthcare MCP Server provides both a programmatic API for direct integration and a RESTful HTTP API for web clients.

RESTful API Endpoints

When running in HTTP mode, the following endpoints are available:

Health Check

GET /health

Returns the status of the server and its services.

FDA Drug Lookup

GET /api/fda?drug_name={drug_name}&search_type={search_type}

Parameters:

• drug_name: Name of the drug to search for
• search_type: Type of information to retrieve
  • general: Basic drug information (default)
  • label: Drug labeling information
  • adverse_events: Reported adverse events

Example Response:

{
  "status": "success",
  "drug_name": "aspirin",
  "search_type": "general",
  "total_results": 25,
  "results": [
    {
      "brand_name": "ASPIRIN",
      "generic_name": "ASPIRIN",
      "manufacturer": "Bayer Healthcare",
      "product_type": "HUMAN OTC DRUG",
      "route": "ORAL",
      "active_ingredients": [
        {
          "name": "ASPIRIN",
          "strength": "325 mg/1"
        }
      ]
    }
  ]
}

PubMed Search

GET /api/pubmed?query={query}&max_results={max_results}&date_range={date_range}

Parameters:

• query: Search query for medical literature
• max_results: Maximum number of results to return (default: 5, max: 50)
• date_range: Limit to articles published within years (e.g. '5' for last 5 years)

Example Response:

{
  "status": "success",
  "query": "diabetes treatment",
  "total_results": 123456,
  "date_range": "5",
  "articles": [
    {
      "pmid": "12345678",
      "title": "New advances in diabetes treatment",
      "authors": ["Smith J", "Johnson A"],
      "journal": "Journal of Diabetes Research",
      "publication_date": "2023-01-15",
      "abstract": "This study explores new treatment options...",
      "url": "https://pubmed.ncbi.nlm.nih.gov/12345678/"
    }
  ]
}

Health Topics

GET /api/health_finder?topic={topic}&language={language}

Parameters:

• topic: Health topic to search for information
• language: Language for content (en or es, default: en)

Example Response:

{
  "status": "success",
  "search_term": "diabetes",
  "language": "en",
  "total_results": 15,
  "topics": [
    {
      "title": "Diabetes Type 2",
      "url": "https://health.gov/myhealthfinder/topics/health-conditions/diabetes/diabetes-type-2",
      "last_updated": "2023-05-20",
      "section": "Health Conditions",
      "description": "Information about managing type 2 diabetes",
      "content": ["Diabetes is a disease...", "Treatment options include..."]
    }
  ]
}

Clinical Trials Search

GET /api/clinical_trials?condition={condition}&status={status}&max_results={max_results}

Parameters:

• condition: Medical condition or disease to search for
• status: Trial status (recruiting, completed, active, not_recruiting, or all)
• max_results: Maximum number of results to return (default: 10, max: 100)

Example Response:

{
  "status": "success",
  "condition": "breast cancer",
  "search_status": "recruiting",
  "total_results": 256,
  "trials": [
    {
      "nct_id": "NCT12345678",
      "title": "Study of New Treatment for Breast Cancer",
      "status": "Recruiting",
      "phase": "Phase 2",
      "study_type": "Interventional",
      "conditions": ["Breast Cancer", "HER2-positive Breast Cancer"],
      "locations": [
        {
          "facility": "Memorial Hospital",
          "city": "New York",
          "state": "NY",
          "country": "United States"
        }
      ],
      "sponsor": "National Cancer Institute",
      "url": "https://clinicaltrials.gov/study/NCT12345678",
      "eligibility": {
        "gender": "Female",
        "min_age": "18 Years",
        "max_age": "75 Years",
        "healthy_volunteers": "No"
      }
    }
  ]
}

ICD-10 Code Lookup

GET /api/medical_terminology?code={code}&description={description}&max_results={max_results}

Parameters:

• code: ICD-10 code to look up (optional if description is provided)
• description: Medical condition description to search for (optional if code is provided)
• max_results: Maximum number of results to return (default: 10, max: 50)

Example Response:

{
  "status": "success",
  "search_type": "description",
  "search_term": "diabetes",
  "total_results": 25,
  "codes": [
    {
      "code": "E11",
      "description": "Type 2 diabetes mellitus",
      "category": "Endocrine, nutritional and metabolic diseases"
    },
    {
      "code": "E10",
      "description": "Type 1 diabetes mellitus",
      "category": "Endocrine, nutritional and metabolic diseases"
    }
  ]
}

Generic Tool Execution

POST /mcp/call-tool

Request Body:

{
  "name": "fda_drug_lookup",
  "arguments": {
    "drug_name": "aspirin",
    "search_type": "general"
  },
  "session_id": "optional-session-id"
}

Programmatic API

When using the MCP server programmatically, the following functions are available:

FDA Drug Lookup

fda_drug_lookup(drug_name: str, search_type: str = "general")

Parameters:

• drug_name: Name of the drug to search for
• search_type: Type of information to retrieve
  • general: Basic drug information (default)
  • label: Drug labeling information
  • adverse_events: Reported adverse events

PubMed Search

pubmed_search(query: str, max_results: int = 5, date_range: str = "")

Parameters:

• query: Search query for medical literature
• max_results: Maximum number of results to return (default: 5)
• date_range: Limit to articles published within years (e.g. '5' for last 5 years)

Health Topics

health_topics(topic: str, language: str = "en")

Parameters:

• topic: Health topic to search for information
• language: Language for content (en or es, default: en)

Clinical Trials Search

clinical_trials_search(condition: str, status: str = "recruiting", max_results: int = 10)

Parameters:

• condition: Medical condition or disease to search for
• status: Trial status (recruiting, completed, active, not_recruiting, or all)
• max_results: Maximum number of results to return

ICD-10 Code Lookup

lookup_icd_code(code: str = None, description: str = None, max_results: int = 10)

Parameters:

• code: ICD-10 code to look up (optional if description is provided)
• description: Medical condition description to search for (optional if code is provided)
• max_results: Maximum number of results to return

Data Sources

This MCP server utilizes several publicly available healthcare APIs:

• FDA OpenFDA API
• PubMed E-utilities API
• Health.gov API
• ClinicalTrials.gov API
• NLM Clinical Table Search Service for ICD-10-CM

Premium Version (still being built)

This is the free version of Healthcare MCP Server with usage limits. For advanced features and higher usage limits, check out our premium version:

• Unlimited API calls
• Advanced healthcare data tools
• Custom integrations
• Priority support

License

MIT License