Azure AI Image Editor MCP Server

#!/usr/bin/env python3 """ Test HTTP version of MCP server """ import asyncio import json import httpx async def test_http_mcp_server(): """Test HTTP version of MCP server""" server_url = "http://localhost:8000" async with httpx.AsyncClient() as client: try: # Test server health status print("🔧 Testing server connection...") response = await client.get(f"{server_url}/health") if response.status_code == 200: print("✅ Server connection successful") # Test tool list print("📋 Getting tool list...") tools_response = await client.post( f"{server_url}/mcp", json={ "jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {} } ) if tools_response.status_code == 200: tools_data = tools_response.json() print(f"✅ Tool list: {json.dumps(tools_data, indent=2, ensure_ascii=False)}") # Test image generation print("🎨 Testing image generation...") generate_response = await client.post( f"{server_url}/mcp", json={ "jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": { "name": "generate_image", "arguments": { "prompt": "A simple red circle", "size": "1024x1024" } } } ) if generate_response.status_code == 200: result = generate_response.json() print(f"✅ Image generation test completed: {result.get('result', {}).get('content', [{}])[0].get('text', 'Unknown')}") else: print(f"❌ Image generation failed: {generate_response.status_code}") except Exception as e: print(f"❌ HTTP test failed: {str(e)}") async def main(): """Run HTTP tests""" print("🌐 Testing HTTP version of MCP server") print("⚠️ Please make sure to start HTTP server first: python src/http_server.py") await asyncio.sleep(1) # Wait for user to read the prompt await test_http_mcp_server() print("✅ HTTP test completed!") if __name__ == "__main__": asyncio.run(main())