This server is non-functional as an MCP implementation. The mcp_server.py file contains only a print statement that outputs a JSON status message, it does not implement the MCP protocol at all. There is no request/response handling, no tool registration mechanism, and no schema definitions. The single tool 'execute_skill_action' is mentioned in the status output but has no actual implementation, no input schema, no parameter descriptions, and no error handling. The client.py and example_usage.py files are standalone Python code unrelated to MCP. This is a stub, not a working MCP server.

• Implement a full MCP protocol server with a request/response loop. Use the official MCP Python SDK or implement JSON-RPC 2.0 message handling over STDIO.
• Define explicit input schema for execute_skill_action with typed parameters (e.g., user_id: string, items: array, payment_method: enum). Use JSON Schema with type and description for each field.
• Rename the tool to a specific action verb: 'create_unified_cart', 'checkout_with_omnichannel_rebate', or 'unify_cart_and_checkout', something that tells the LLM exactly what happens when called.
• Write a detailed tool description (100-200 chars): 'Unifies in-store and online cart items for a user, applies omnichannel rebates, and initiates instant checkout. Returns a unified cart token and payment readiness status.'
• Add parameter descriptions for all inputs (user_id, in_store_rfid_tags, online_wishlist_ids, etc.) with type, format, and constraints. Document the output schema with all returned fields and their types.