christmas-mcp-image-describe/debug.js

MCP server that analyzes images and provides structured metadata for website placement decisions using OpenAI GPT-4o Vision API

#!/usr/bin/env node

// Debug script to log how the package is being called
console.error('[DEBUG] Christmas MCP Debug - Entry Point Analysis');
console.error('[DEBUG] Process arguments:', process.argv);
console.error('[DEBUG] Working directory:', process.cwd());
console.error('[DEBUG] __filename equivalent:', new URL(import.meta.url).pathname);
console.error('[DEBUG] Environment variables:');
console.error('[DEBUG] NODE_ENV:', process.env.NODE_ENV);
console.error('[DEBUG] VSCODE_PID:', process.env.VSCODE_PID);
console.error('[DEBUG] TERM_PROGRAM:', process.env.TERM_PROGRAM);

// Check if this is being called by VS Code
const isVSCode = process.env.VSCODE_PID || process.env.TERM_PROGRAM === 'vscode';
console.error('[DEBUG] Detected VS Code execution:', isVSCode);

// Check execution context
import { fileURLToPath } from 'url';
import path from 'path';

const __filename = fileURLToPath(import.meta.url);
const isDirectExecution = process.argv[1] && path.resolve(process.argv[1]) === path.resolve(__filename);

console.error('[DEBUG] Direct execution check:', isDirectExecution);
console.error('[DEBUG] process.argv[1]:', process.argv[1]);
console.error('[DEBUG] __filename:', __filename);
console.error('[DEBUG] Resolved process.argv[1]:', process.argv[1] ? path.resolve(process.argv[1]) : 'undefined');
console.error('[DEBUG] Resolved __filename:', path.resolve(__filename));

// If this was meant to be an MCP server, redirect to the dedicated server
if (isDirectExecution && process.argv.length <= 2) {
  console.error('[DEBUG] No arguments provided, assuming MCP server call');
  console.error('[DEBUG] Redirecting to dedicated MCP server...');
  
  try {
    // Import and run the dedicated MCP server
    const { spawn } = await import('child_process');
    const serverPath = path.join(path.dirname(__filename), 'bin', 'mcp-server.js');
    console.error('[DEBUG] Server path:', serverPath);
    
    const serverProcess = spawn('node', [serverPath], {
      stdio: 'inherit',
      cwd: process.cwd()
    });
    
    serverProcess.on('exit', (code) => {
      console.error('[DEBUG] MCP server exited with code:', code);
      process.exit(code);
    });
    
  } catch (error) {
    console.error('[DEBUG] Failed to start MCP server:', error);
    process.exit(1);
  }
} else {
  console.error('[DEBUG] Arguments detected, running CLI...');
  
  // Show CLI help
  console.log(`
Christmas MCP Image Describe - CLI Example

Usage:
  node cli.js <image-path> [context] [api-key] [project-id]
  
Arguments:
  image-path    Path to the image file to analyze
  context       Optional context (e.g., "homepage hero", "about section")
  api-key       OpenAI API key (or set OPENAI_API_KEY environment variable)
  project-id    OpenAI project ID (or set OPENAI_PROJECT environment variable)

Examples:
  node cli.js ./sample.jpg
  node cli.js ./hero.png "homepage hero"
  node cli.js ./team.jpg "about section" sk-your-api-key
  
Environment Variables:
  OPENAI_API_KEY    Your OpenAI API key
  OPENAI_PROJECT    Your OpenAI project ID (optional)
`);

  process.exit(1);
}