Exposes an HTTP endpoint for Model Context Protocol (MCP) tools focused on products, shopping carts, and cart items, leveraging Cloudflare Workers, Hono, and D1 (SQLite).
Sponsored
Laburen provides a serverless Model Context Protocol (MCP) server built on Cloudflare Workers and Hono, utilizing Cloudflare D1 (SQLite) with Drizzle ORM for data persistence. It exposes a robust HTTP endpoint designed to equip AI agents with essential business logic for managing products, shopping carts, and individual cart items. The solution features a layered architecture that mediates conversations through a CRM, allowing AI agents to interpret user intent and invoke specific MCP tools via HTTP/JSON-RPC for business operations. Furthermore, it integrates a Google Sheets and Google Apps Script-based data ingestion pipeline for initial product catalog loading and synchronization, ensuring seamless updates without disrupting agent functionality.
Key Features
01Health check endpoint for monitoring server status
020 GitHub stars
03Serverless MCP endpoint with ready-to-use agent tools
04Cloudflare D1 (SQLite) database with Drizzle ORM integration
05Seamless deployment and development with Cloudflare Wrangler
06Google Sheets and Apps Script data ingestion pipeline for product catalog
Use Cases
01Empowering AI agents to explore and search for products by ID or name
02Enabling AI agents to create and manage customer shopping carts, including adding and updating items
03Integrating business logic for product and cart management into conversational AI workflows