Adobe Commerce

Provides an MCP server to generate Adobe Commerce support replies from case findings via local Python execution.

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

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

You can use this MCP server to generate professional Adobe Commerce support responses from your case findings. It runs locally and connects with your MCP client to transform findings into well-structured, customer-ready replies.

How to use

Connect to the Adobe Commerce Support MCP Server from your MCP client to generate professional replies from your findings. You have two practical options to configure and start using the server.

Option 1: Add to your MCP client settings (Recommended) Open your MCP client configuration and add the server as follows to enable local execution via Python. This starts the server process and lets the client send findings for processing.

{
  "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 ready-to-use configuration is available in the mcp_config.json file in the same directory. Load this file into your MCP client to enable the server without editing settings manually.

How to install

Prerequisites you need before starting the server: a system with Python 3 installed.

Step 1: Verify Python is available on your system.

python3 --version

Step 2: Start the MCP server using the exact path shown in the configuration snippet.

python3 /Users/kavingas/VSCodeProjects/mcp_support_server/mcp_support_server.py

Additional notes

The server exposes tools to generate Adobe Commerce support responses from case findings. If you have mixed content, you can rely on automatic categorization or pre-categorized prompts to structure your input before generating a reply.

If you plan to automate workflows, you can integrate the server with your preferred MCP client using the provided configuration options to ensure consistency across responses.

Available tools

generate_support_reply

Generates a professional Adobe Commerce support response from case findings using the MCP server.

categorize_mixed_content

Creates prompts to categorize mixed content into a structured format before generating a reply.