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Quick Setup Guide

Fast track to connecting Tetrix AI MCP Server for experienced users. This condensed guide gets you up and running in under 5 minutes.

Prerequisites Check ✅

Before starting, quickly verify:

  • ✅ Node.js 18+ installed (node --version)
  • ✅ Internet connection working
  • ✅ AI platform ready (Claude Desktop, Cursor, etc.)

MCP Configuration

Copy this configuration to your MCP client:

{
  "mcpServers": {
    "tetrix": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "http://tetrix-level-1-dev-alb-463220232.us-east-1.elb.amazonaws.com/mcp",
        "--transport",
        "http-only",
        "--allow-http"
      ]
    }
  }
}

Platform-Specific Locations

Claude Desktop

macOS:

~/Library/Application Support/Claude/claude_desktop_config.json

Windows:

%APPDATA%\Claude\claude_desktop_config.json

Linux:

~/.config/Claude/claude_desktop_config.json

Cursor IDE

  1. Open Cursor → Preferences → Extensions
  2. Search for MCP settings
  3. Add server configuration
  4. Restart Cursor

Other Platforms

  • ChatGPT Desktop: Settings → Integrations → MCP Servers
  • CLINE: VS Code settings → Extensions → CLINE → MCP Configuration
  • Custom Client: Refer to your client’s MCP documentation

Quick Test

After adding the configuration:

  1. Restart your AI platform
  2. Wait 30-60 seconds for connection
  3. Ask: “What can Tetrix AI help me with?”
  4. Verify you get a response about system-wide intelligence

Example Questions

Try these to test your connection:

System Understanding:

"Analyze my codebase architecture"
"How does my authentication system work?"
"What are the relationships between my services?"

Infrastructure Analysis:

"Review my AWS infrastructure"
"What security improvements do you recommend?"
"How can I optimize my cloud costs?"

Expert Consultation:

"I need architecture advice for scaling my app"
"Help me improve my CI/CD pipeline"
"What's the best database for my use case?"

Troubleshooting Quick Fixes

Connection Issues

# Test endpoint directly
curl http://tetrix-level-1-dev-alb-463220232.us-east-1.elb.amazonaws.com/mcp
 
# Check Node.js
node --version
 
# Verify npx works
npx --version

Configuration Issues

  • JSON Syntax: Use online JSON validator
  • File Location: Double-check platform-specific paths
  • Permissions: Ensure config file is readable

Platform Issues

  • Restart Required: Always restart AI platform after config changes
  • Wait Time: Allow 30-60 seconds for MCP connection
  • Version Check: Ensure latest version of AI platform

Advanced Configuration (Optional)

Performance Optimization

{
  "mcpServers": {
    "tetrix": {
      "command": "npx",
      "args": [...],
      "env": {
        "TETRIX_TIMEOUT": "30000",
        "TETRIX_CACHE_TTL": "300"
      }
    }
  }
}

Debug Mode

{
  "mcpServers": {
    "tetrix": {
      "command": "npx",
      "args": [...],
      "env": {
        "DEBUG": "tetrix:*",
        "TETRIX_LOG_LEVEL": "debug"
      }
    }
  }
}

Next Steps

Once connected, explore:

Success Indicators

You’ll know the setup worked when:

✅ No Error Messages: AI platform starts without MCP errors ✅ Tetrix AI Responds: Queries about your system get intelligent answers ✅ Context Awareness: AI understands your specific codebase and infrastructure ✅ Expert Knowledge: Specialized advice based on your actual system

Common Success Patterns

First Query Response:

“I can see your system architecture and I’m ready to help analyze your codebase, infrastructure, and provide expert guidance across different domains…”

System Understanding:

“Based on your React frontend and Node.js backend, I can see the relationships between your components and suggest improvements…”

Infrastructure Awareness:

“Looking at your AWS setup, I notice several optimization opportunities for both cost and performance…”

Performance Tips

  • Specific Questions: More specific queries get better responses
  • Context Building: Build on previous conversations for deeper insights
  • Domain Expertise: Ask for specific expert consultation (architecture, DevOps, security)

Need Detailed Help?

For comprehensive setup instructions:

Setup complete in under 5 minutes? Start exploring what Tetrix AI can do with your system!

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