AI-Powered Nutrition Tracking Tool

// Example: Initialize Scanlyf MCP Client
// NOTE: This uses localhost for development. In production, use your secure API endpoint
// IMPORTANT: Never expose JWT tokens in client-side code

const scanFood = async (base64Image, token) => {
  // Replace with your production API endpoint
  const API_ENDPOINT = process.env.NODE_ENV === 'production' 
    ? 'https://your-api.com/mcp' 
    : 'http://localhost:3000/mcp';
    
  const response = await fetch(API_ENDPOINT, {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${token}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      jsonrpc: '2.0',
      method: 'tools/call',
      params: {
        name: 'scan_food',
        arguments: {
          bearer_token: token,
          input: base64Image,
          type: 'image'
        }
      }
    })
  });
  
  if (!response.ok) {
    throw new Error(`API request failed: ${response.status}`);
  }

  return response.json();
};

// Response includes nutrition data, harmful ingredients, and health warnings
// Token should be obtained through secure authentication flow