MCP server that recommends coffee based on preferences (mood, milk, caffeine, temperature) from a static menu; includes tools for listing menu, recommending, and explaining recommendations.
An MCP adapter that maps Coffee Company B2B HTTP APIs to MCP tools, allowing AI agents to query member information, benefits, coupons, and payment statuses. It enables seamless integration for AI assistants to manage coffee-related customer assets and loyalty details through natural language.
Enables cataloging and managing personal inventory (items, attachments) through natural language, allowing users to add, search, update, and retrieve item details and attachments via MCP tools.