🔮 VibeWrapper

Step 1: Get Your API Key

Step 2: Configure MCP Server in Cursor

Add this to your ~/.cursor/mcp.json:

{
  "mcpServers": {
    "vibewrapper": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.platform.vp.laratech.sk/sse"],
      "env": {
        "VIBEWRAPPER_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Alternative: Run MCP Server Locally

For advanced users who want to run the MCP server locally:

# Clone and install
git clone https://github.com/lrtch/vibewrapper.git
cd vibewrapper/mcp_server
pip install -r requirements.txt

# Set environment variables
export VIBEWRAPPER_API=https://platform.vp.laratech.sk
export VIBEWRAPPER_KEY=YOUR_API_KEY

# Add to ~/.cursor/mcp.json:
{
  "mcpServers": {
    "vibewrapper": {
      "command": "python",
      "args": ["/path/to/vibewrapper/mcp_server/server.py"],
      "env": {
        "VIBEWRAPPER_API": "https://platform.vp.laratech.sk",
        "VIBEWRAPPER_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Step 3: Restart Cursor

After saving the configuration, restart Cursor to activate the MCP server.

Available Tools

Once connected, your AI assistant can use these tools:

• get_logs - Fetch recent container logs from your deployed app
• get_status - Check deployment status and health
• get_hints - Get improvement suggestions for your app
• get_assessment - Get the latest code assessment results
• ask_assessor - Ask questions about your application
• trigger_deploy - Deploy the latest version of your app

Example Usage in Claude

# Ask Claude to check your app status:
"Check the deployment status of my app"

# Get improvement suggestions:
"What hints does VibeWrapper have for improving my app?"

# Deploy after making changes:
"Deploy the latest version of my app"

# Debug issues:
"Show me the recent error logs from my app"