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StyleHub Online Shop MCP Server

@pooja-bhavani

Basic information

Category

Cloud & Infrastructure

Transports

stdio

Author

pooja-bhavani

About StyleHub Online Shop MCP Server

In this repo I have created an E-Commerce website and deployed i on Kubernetes and tools used in this Amazon Q with Kubernetes-MCP-Server, Docker, Docker-Compose and Jenkins.

StyleHub Online Shop MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "StyleHub-Online-Shop": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "stylehub-online-shop",
        "."
      ]
    }
  }
}

StyleHub Online Shop MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is StyleHub Online Shop?

StyleHub Online Shop is an e-commerce website deployed on Kubernetes. It uses Amazon Q with Kubernetes-MCP-Server, Docker, Docker-Compose, and Jenkins for deployment and management.

How to use StyleHub Online Shop?

—

Key features of StyleHub Online Shop

  • Deployed on Kubernetes for scalability.
  • Integrates Amazon Q and Kubernetes-MCP-Server.
  • Built with Docker and Docker-Compose.
  • Uses Jenkins for continuous integration.

Use cases of StyleHub Online Shop

  • Hosting an e-commerce platform with containerized microservices.
  • Demonstrating Kubernetes deployment with CI/CD tooling.

Frequently asked questions

1

What tools are used to deploy StyleHub Online Shop?

Amazon Q, Kubernetes-MCP-Server, Docker, Docker-Compose, and Jenkins are used for deployment.

2

Is the website fully functional?

The README states the e-commerce website is created and deployed, but does not detail specific functionality.

3

What environment does the deployment target?

The deployment targets Kubernetes clusters, with containerization via Docker and orchestration via Docker-Compose.

Comments

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