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Other Platform Integrations

Tetrix AI supports any MCP-compatible platform. This guide covers setup for ChatGPT Desktop, CLINE, and other MCP clients, plus instructions for custom integrations.

Supported Platforms

ChatGPT Desktop

Native integration with OpenAI’s ChatGPT Desktop application.

CLINE (formerly Claude Dev)

AI-powered development environment with MCP support.

Custom MCP Clients

Any application that implements the Model Context Protocol.

ChatGPT Desktop Setup

Prerequisites

  • ✅ ChatGPT Desktop installed
  • ✅ Node.js 18+ installed
  • ✅ MCP support enabled in ChatGPT Desktop

Configuration Steps

  1. Locate ChatGPT Desktop configuration file:

    macOS:

    ~/Library/Application Support/ChatGPT/chatgpt_desktop_config.json

    Windows:

    %APPDATA%\ChatGPT\chatgpt_desktop_config.json

    Linux:

    ~/.config/ChatGPT/chatgpt_desktop_config.json

  2. Add Tetrix AI MCP server:

    {
  "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"
      ]
    }
  }
}

  3. Restart ChatGPT Desktop

CLINE Setup

Prerequisites

  • ✅ CLINE installed (GitHub )
  • ✅ Node.js 18+ installed
  • ✅ VS Code (if using CLINE extension)

Configuration Steps

  1. Open CLINE settings (method varies by installation)

  2. Add MCP server configuration:

    {
  "mcp": {
    "servers": {
      "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"
        ]
      }
    }
  }
}

  3. Restart CLINE

Generic MCP Client Setup

For any MCP-compatible client, use this standard configuration:

Basic Configuration Template

{
  "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"
      ]
    }
  }
}

Configuration Variations

Different clients may use slightly different configuration formats:

Variant 1: Nested under mcp key

{
  "mcp": {
    "servers": {
      "tetrix": {
        "command": "npx",
        "args": [...]
      }
    }
  }
}

Variant 2: Direct servers key

{
  "servers": {
    "tetrix": {
      "command": "npx",
      "args": [...]
    }
  }
}

Variant 3: Array format

{
  "mcpServers": [
    {
      "name": "tetrix",
      "command": "npx",
      "args": [...]
    }
  ]
}

Custom Integration Guide

For Application Developers

If you’re building an MCP-compatible application:

  1. Implement MCP Protocol

  2. Add Tetrix AI Server

    • Use the configuration shown above
    • Handle connection lifecycle appropriately

  3. Test Connection

    • Verify server responds to MCP requests
    • Test resource and tool discovery

Connection Parameters

When implementing MCP client support for Tetrix AI:

  • Transport: HTTP only
  • Endpoint: http://tetrix-level-1-dev-alb-463220232.us-east-1.elb.amazonaws.com/mcp
  • Authentication: None required (public endpoint)
  • Timeout: Recommend 30-60 seconds for initial connection

Platform-Specific Features

ChatGPT Desktop

  • Conversation context - Tetrix AI understands ongoing conversations
  • Multi-turn interactions - Build on previous responses
  • Rich formatting - Support for code blocks and structured output

CLINE

  • Development focus - Optimized for coding tasks
  • File integration - Direct access to project files
  • Terminal integration - Command execution capabilities

Custom Clients

  • Full MCP feature set - Access to all Tetrix AI capabilities
  • Custom UI integration - Design your own interaction patterns
  • Specialized workflows - Build domain-specific features

Troubleshooting

Universal Issues

Problem: Connection fails across multiple platforms

  • ✅ Check internet connection - Verify connectivity
  • ✅ Test endpoint - Try accessing the URL in a browser
  • ✅ Check firewall - Ensure outbound HTTP is allowed

Problem: Configuration not recognized

  • ✅ Validate JSON - Check for syntax errors
  • ✅ Check file location - Ensure config is in correct directory
  • ✅ Restart application - Close and reopen the client

Platform-Specific Issues

ChatGPT Desktop:

  • Configuration file location may vary by version
  • Some versions require specific JSON structure

CLINE:

  • VS Code extension vs standalone app have different configs
  • Check CLINE documentation for version-specific requirements

Debugging Steps

  1. Verify Node.js installation:

    node --version
npx --version

  2. Test MCP connection manually:

    npx -y mcp-remote@latest http://tetrix-level-1-dev-alb-463220232.us-east-1.elb.amazonaws.com/mcp --transport http-only --allow-http

  3. Check application logs for error messages

Advanced Configuration

Environment Variables

{
  "mcpServers": {
    "tetrix": {
      "command": "npx",
      "args": [...],
      "env": {
        "DEBUG": "mcp:*",
        "NODE_ENV": "production"
      }
    }
  }
}

Timeout Configuration

{
  "mcpServers": {
    "tetrix": {
      "command": "npx",
      "args": [...],
      "timeout": 60000
    }
  }
}

Working Directory

{
  "mcpServers": {
    "tetrix": {
      "command": "npx",
      "args": [...],
      "cwd": "/path/to/project"
    }
  }
}

Need Help?

Platform integration complete! 🎉 You now have Tetrix AI connected to your preferred MCP-compatible platform.

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