Suncture Healthcare MCP Server

A Model Context Protocol (MCP) server that provides healthcare-related tools for AI assistants, enabling them to offer practical healthcare information to users.

Features

This MCP server includes the following healthcare tools:

1. Health Recommendations Tool (get-health-recommendations) - Get personalized health screening and preventive care recommendations based on age, sex, and pregnancy status.

2. Medication Information Tool (lookup-medication) - Look up comprehensive information about medications, including usage, dosage, side effects, and interactions.

3. Disease Information Tool (find-disease-info) - Find information about diseases and medical conditions, including symptoms, treatments, and prevention strategies.

4. BMI Calculator Tool (calculate-bmi) - Calculate Body Mass Index (BMI) and get tailored health recommendations based on the result.

5. Symptom Checker Tool (symptom-checker) - Analyze reported symptoms and get preliminary advice, potential conditions, and guidance on when to seek medical care.

Installation

NPM Package Installation

You can install the package globally:

npm install -g suncture-healthcare-mcp

Or as a project dependency:

npm install suncture-healthcare-mcp

Prerequisites

• Node.js (v18 or later)
• npm (v7 or later)

Local Development

# Clone the repository
git clone https://github.com/your-username/suncture-healthcare-mcp.git
cd suncture-healthcare-mcp

# Install dependencies
npm install

# Build the project
npm run build

# Start the server
npm start

Usage

Command Line Usage

If installed globally, you can run the server directly from the command line:

suncture-healthcare-mcp

You can configure the server using environment variables:

# Run in REST mode
MCP_MODE=rest MCP_PORT=8080 suncture-healthcare-mcp

Programmatic Usage

You can also use the package programmatically in your Node.js applications:

import { server, runServer } from 'suncture-healthcare-mcp';

// Run with default settings (stdio mode)
runServer();

// Or with custom settings
runServer({
  mode: 'rest',    // 'stdio' or 'rest'
  port: 8080,      // Only used in REST mode
  endpoint: '/api' // Only used in REST mode
});

// You can also access the server instance directly
console.log(server.name); // 'suncture-healthcare'

Usage with MCP-enabled AI Models

This MCP server can be used with AI models that support the Model Context Protocol. The server exposes healthcare-related tools that can be called by the model to provide information to users.

Example Usage with Claude 3.5 Sonnet

import { Anthropic } from "@anthropic-ai/sdk";
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

// Connect to the healthcare MCP server
const healthcareMcp = new Client({ name: "healthcare-client", version: "1.0.0" });
const transport = new StdioClientTransport({
  command: "suncture-healthcare-mcp", // Use the installed package
  args: [],
});
healthcareMcp.connect(transport);

// Get available tools
const { tools } = await healthcareMcp.listTools();

// Initialize Anthropic client
const anthropic = new Anthropic({
  apiKey: process.env.ANTHROPIC_API_KEY,
});

// Example: Use the symptom checker tool
const response = await anthropic.messages.create({
  model: "claude-3-5-sonnet-20240620",
  max_tokens: 1000,
  messages: [
    {
      role: "user",
      content: "I've been having a headache and fever for the past two days. What could it be?"
    }
  ],
  tools,
});

// Process tool calls from the model
for (const content of response.content) {
  if (content.type === "tool_use") {
    const result = await healthcareMcp.callTool({
      name: content.name,
      arguments: content.input,
    });
    console.log(result.content);
  }
}

Docker Usage

You can also run the server using Docker:

# Build the Docker image
docker build -t suncture-healthcare-mcp .

# Run the container
docker run -i --rm suncture-healthcare-mcp

MCP.so Hosting

This server is designed to be hostable on MCP.so, allowing easy integration with supported AI models.

Disclaimer

The healthcare information provided by this MCP server is for educational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition.

License

MIT License