🛒 MCP Products Server

A hands-on Python project demonstrating Model Context Protocol (MCP) by building a product management server that integrates with Claude Desktop and GitHub Copilot.

🗂️ Project Structure

create_new_mcp/
│
├── mcp_server.py        # MCP Server with tools, resource, and prompt template
├── add_product.py       # DB logic to INSERT a product
├── fetch_products.py    # DB logic to SELECT all products
├── db_connect.py        # Database connection helper
├── .env                 # API keys and DB credentials (not committed)
├── .gitignore
└── README.md

Related MCP server: GitHub MCP Server

⚙️ MCP Server — mcp_server.py

🔌 Configuration

Claude Desktop

Update claude_desktop_config.json:

{
  "mcpServers": {
    "products": {
      "command": "uv.exe",
      "args": [
        "--directory", "C:\\path\\to\\create_new_mcp",
        "run", "mcp_server.py"
      ]
    }
  }
}

GitHub Copilot

Update mcp.json with the same server details.

🚀 Getting Started

Prerequisites

• Python 3.10+

• uv package manager

• MySQL database

• Claude Desktop or GitHub Copilot

📚 Key Learnings

• ✅ MCP Tools are invoked directly by the LLM

• ✅ MCP Resources are fetched manually via host UI and injected into context

• ✅ Prompt Templates enable consistent prompt generation via / command

• ⚠️ MCP Sampling (server → LLM callback) is not yet supported by Claude Desktop or GitHub Copilot in practice

• 💡 Workaround for sampling: call Anthropic API directly from the MCP server