kavingas/mcp_support_server

Adobe Commerce Support MCP Server

This MCP server helps generate professional Adobe Commerce support responses from case findings.

Installation

1. Dependencies are already installed ✅
2. Server is ready to use ✅

Usage with Cursor

To use this MCP server with Cursor, add the following configuration to your Cursor settings:

Option 1: Add to Cursor Settings (Recommended)

1. Open Cursor Settings (Cmd+,)
2. Search for "MCP"
3. Add this server configuration:

{
  "mcpServers": {
    "adobe-support-mcp": {
      "command": "python3",
      "args": ["/Users/kavingas/VSCodeProjects/mcp_support_server/mcp_support_server.py"],
      "env": {}
    }
  }
}

Option 2: Use the provided config file

The mcp_config.json file in this directory contains the ready-to-use configuration.

How to Use

Option 1: Structured Content (Traditional)

1. Create a find.md file with properly structured content:

### Findings
[Your investigation findings here]

### Analysis  
[Your technical analysis here]

### Recommendations
[Your recommended solutions here]

2. Use the generate_support_reply tool to create a professional customer response.

Option 2: Mixed Content (New - LLM Assisted)

1. Create a find.md file with mixed/unstructured content (any format)
2. Use either:
   • categorize_mixed_content tool first, then use LLM to process the categorization prompt
   • generate_support_reply with auto_categorize=true (default) for automatic handling

The server will automatically detect if your content needs categorization and provide LLM prompts to organize it properly.

Tools Available

• generate_support_reply: Generates a professional Adobe Commerce support response from case findings

  • find_file: Input file (default: "find.md")
  • resp_file: Output file (default: "resp.md")
  • auto_categorize: Automatically handle mixed content (default: true)

• categorize_mixed_content: Creates LLM prompts to categorize mixed content into structured format

  • find_file: Input file with mixed content (default: "find.md")
  • categorized_file: Output file with categorization prompt (default: "categorized.md")

Files

• mcp_support_server.py - Main MCP server
• requirements.txt - Python dependencies
• mcp_config.json - Cursor configuration
• setup.py - Installation script