Connecting to Tetrix MCP

Ready to connect Tetrix AI to your development workflow? This comprehensive guide will walk you through setting up the MCP Server integration with your preferred AI platform.

What is the Tetrix AI MCP Server?

The Tetrix AI MCP Server is how you access all of Tetrix AI’s powerful system-wide intelligence through your favorite AI platforms. Instead of uploading files or copy-pasting code, the MCP Server provides direct, secure access to Tetrix AI’s capabilities.

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI applications to securely connect to external data sources and tools. Think of it as a bridge that lets your AI assistant directly understand and interact with your development environment.

Traditional Approach:

You → Copy/paste code → AI Assistant → Generic response

With Tetrix AI MCP Server:

You → Ask question → AI Assistant → MCP Server → Tetrix AI → System-wide analysis

Why Use MCP Instead of File Uploads?

🔒 Security: No sensitive code leaves your environment 🔄 Real-time: Always works with your latest code and infrastructure 🌐 Complete Context: Sees relationships across your entire system ⚡ Efficiency: No manual file management or copy-pasting 🎯 Accuracy: Responses based on your actual, current system state

MCP Server Configuration

Here’s the configuration that connects any MCP-compatible AI platform to Tetrix AI:

{
  "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"
      ]
    }
  }
}

This configuration tells your AI client to:

1. Use npx to download the latest MCP remote client
2. Connect to Tetrix AI’s MCP Server endpoint
3. Use HTTP transport for communication
4. Allow HTTP connections (the endpoint handles security)

Prerequisites

Before you begin, make sure you have:

• ✅ Node.js 18+ installed on your system
• ✅ Internet connection for downloading packages and connecting to Tetrix AI
• ✅ An MCP-compatible AI platform (Claude Desktop, Cursor, etc.)

Check Your Setup

# Verify Node.js version (should be 18 or higher)
node --version
 
# Verify npx is available
npx --version
 
# Test internet connectivity to Tetrix AI
curl -I http://tetrix-level-1-dev-alb-463220232.us-east-1.elb.amazonaws.com/mcp

Overview of Integration Process

Setting up Tetrix AI involves three simple steps:

1. Choose Your Platform

Select the AI platform where you want to use Tetrix AI:

🖥️ Claude Desktop

• Best for: Conversational AI assistance and system exploration
• Features: Natural language interaction, architecture discussions, planning
• Setup Time: ~5 minutes
• Setup Guide →

⚡ Cursor IDE

• Best for: Code development and inline assistance
• Features: AI-powered code completion, contextual help while coding
• Setup Time: ~5 minutes
• Setup Guide →

🔧 Other Platforms

• Best for: Custom workflows and specialized use cases
• Features: ChatGPT Desktop, CLINE, universal MCP compatibility
• Setup Time: ~5-10 minutes
• Setup Guide →

2. Add Server Configuration

Each platform requires adding our MCP server configuration. The configuration above works for all platforms, but the location where you add it varies:

• Claude Desktop: claude_desktop_config.json
• Cursor: MCP settings in preferences
• Other platforms: Varies by client

3. Start Using Tetrix AI

Once configured, you’ll have access to Tetrix AI’s powerful capabilities:

• 🔍 Deep Code Analysis - Understanding of your entire codebase structure
• 🏗️ Infrastructure Insights - AWS resource analysis and optimization
• 🔄 Real-Time Awareness - Live monitoring of code and system changes
• 🤖 Expert Knowledge - Specialized AI agents for different domains
• 🛠️ Multi-Tool Integration - Coordination across your development tools

Platform Compatibility

What Happens After Setup?

Once connected, you can ask your AI assistant questions like:

System Understanding:

• “How does user authentication work in my application?”
• “What’s the relationship between my frontend and backend services?”
• “Show me the data flow from API to database”

Architecture & Planning:

• “How should I architect this new feature?”
• “What’s the best way to scale my current system?”
• “Should I refactor this component?”

Infrastructure & DevOps:

• “How can I optimize my AWS infrastructure costs?”
• “What security vulnerabilities exist in my setup?”
• “How do I improve my deployment pipeline?”

Your AI assistant will use Tetrix AI’s MCP Server to provide system-aware, contextual answers based on your actual code and infrastructure.

Ready to Get Started?

Choose your platform and follow the detailed setup guide:

Need Help?

If you run into any issues during setup:

• 📖 Check our Troubleshooting Guide for common solutions
• 💬 Ask questions in our GitHub Discussions 
• 🔍 Browse the API Reference for technical implementation details
• ⚡ Explore Capabilities to see what Tetrix AI can do

Estimated setup time: 5-10 minutes ⏱️

Ready to experience AI that understands your entire system? Choose your platform above and get started!