I will set up claude ai with mcp tools on windows so it will actually work

a unified MCP gateway that loads 150+ AI tools into Claude Desktop via a single Docker command. I documented 6 Windows-specific MCP failure modes that Docker's own docs don't cover. I've run this stack on real hardware under real constraints. I know where it breaks and how to fix it before it does.

This isn't theoretical. It's battle-tested.

Who this is for:

• do things.

What you get:

• MCP gateway installed and configured on Windows
• - Claude Desktop connected and tested end-to-end
• - Tools connected based on your package (5, 15, discuss your specific stack.or unlimited)
• - Every Windows-specific config error handled before delivery
• - You get a working system, not a setup guide
• 
  
• Why me:
• I built FusionAL the hard way.

I'll set up your MCP gateway and connect Claude Desktop to real tools so your AI can actually do work: query databases, hit APIs, manage GitHub issues, scrape the web, and more. Not just answer questions Most teams waste 2-3 days just getting MCP to run on Windows. Wrong ports. BOM encoding errors. Docker misconfigs. Registry timeouts. Claude Desktop silently failing with no useful error message.

I've already solved every one of those failure modes