Claude Desktop Integration
Connect Tetrix AI to Claude Desktop for powerful AI assistance that understands your entire software system. This guide will walk you through the setup process step by step.
Prerequisites
Before you begin, make sure you have:
- ✅ Claude Desktop installed (Download here )
- ✅ Node.js 18+ installed on your system
- ✅ Basic familiarity with JSON configuration files
Step-by-Step Setup
Step 1: Locate Claude Desktop Configuration
Claude Desktop stores its configuration in a specific location depending on your operating system:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Windows:
%APPDATA%\Claude\claude_desktop_config.json
Linux:
~/.config/Claude/claude_desktop_config.json
Step 2: Open Configuration File
- Open your file manager or terminal
- Navigate to the configuration directory for your OS (see above)
- Open
claude_desktop_config.json
in your preferred text editor
If the file doesn’t exist, create it with an empty JSON object:
{}
Step 3: Add Tetrix AI MCP Server
Add the Tetrix AI MCP server configuration to your claude_desktop_config.json
:
{
"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"
]
}
}
}
Step 4: Restart Claude Desktop
- Close Claude Desktop completely
- Reopen Claude Desktop
- Wait for the connection to establish (usually takes 10-30 seconds)
Step 5: Verify Connection
To verify that Tetrix AI is connected:
- Start a new conversation in Claude Desktop
- Ask Claude to list available tools or resources
- Look for Tetrix AI in the response - you should see Tetrix-related capabilities
You can test the connection with a simple query like:
“What tools and resources do you have access to?”
What You Can Do Now
With Tetrix AI connected to Claude Desktop, you can:
🔍 Code Analysis
- Analyze entire codebases - Get insights about your project structure
- Understand dependencies - See how different parts of your code connect
- Find patterns - Identify architectural patterns and potential improvements
🏗️ Infrastructure Insights
- AWS resource analysis - Understand your cloud infrastructure
- Cost optimization - Get recommendations for reducing AWS costs
- Security assessment - Identify potential security issues
🤖 Expert Knowledge
- Domain-specific advice - Get specialized knowledge for different technologies
- Best practices - Learn industry best practices for your tech stack
- Troubleshooting - Get help debugging complex issues
Example Queries
Try these example queries to get started:
"Analyze the architecture of my React application"
"What AWS resources am I using and how can I optimize costs?"
"Help me understand the dependencies in my Node.js project"
"Review my code for potential security vulnerabilities"
Troubleshooting
Connection Issues
Problem: Claude Desktop doesn’t recognize Tetrix AI
- ✅ Check configuration - Ensure JSON syntax is correct
- ✅ Restart Claude Desktop - Close completely and reopen
- ✅ Check internet connection - MCP server requires internet access
Problem: “Command not found” error
- ✅ Install Node.js - Make sure Node.js 18+ is installed
- ✅ Check PATH - Ensure
npx
is available in your system PATH
Performance Issues
Problem: Slow responses from Tetrix AI
- ✅ Check internet speed - Slow connection affects performance
- ✅ Simplify queries - Break complex questions into smaller parts
- ✅ Wait for initialization - First connection may take longer
Configuration Problems
Problem: JSON syntax errors
- ✅ Validate JSON - Use a JSON validator to check syntax
- ✅ Check commas - Ensure proper comma placement
- ✅ Quote strings - All strings must be in double quotes
Advanced Configuration
Multiple MCP Servers
If you’re using other MCP servers, add Tetrix AI alongside them:
{
"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"
]
},
"other-server": {
"command": "other-command",
"args": ["other-args"]
}
}
}
Environment Variables
For advanced users, you can use environment variables in your configuration:
{
"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"
],
"env": {
"CUSTOM_VAR": "value"
}
}
}
}
Next Steps
Now that you have Tetrix AI connected to Claude Desktop:
- Explore capabilities - Try different types of queries to see what’s possible
- Learn advanced features - Check out our Capabilities guide
- Optimize your setup - Review Configuration for advanced options
- Get help - Visit our Troubleshooting guide if you need assistance
Setup complete! 🎉 You now have access to Tetrix AI’s system-wide intelligence directly in Claude Desktop.