An MCP server that lets restaurants operate their point-of-sale through an LLM agent — edit menus, 86 items, check sales, restock inventory, monitor voids, and more via twenty tools over both stdio and Streamable HTTP transports with per-request tenancy from API keys.
MCP server exposing restaurant tools including search by cuisine, price, rating, and open status, restaurant details, user preferences stored in Neon Postgres, and RAG knowledge search covering 50 mock restaurants across Scottsdale and Phoenix.
An MCP server that enables AI agents to discover restaurants and place food delivery orders on Uber Eats and Thuisbezorgd (Just Eat Takeaway). It provides tools for restaurant discovery and order management through normalized platform APIs.
A thin MCP server that exposes Wolt's public consumer endpoints to AI agents, enabling discovery of nearby venues and fetching their menus with live prices and deal signals.
Universal MCP server for the Avito API (Russia's largest classifieds marketplace), built for autonomous AI agents to operate an account hands-free — 145 tools across 18 domains (listings, messenger, orders, delivery, promotion, autoload, reviews, analytics). Safe-by-default: dry-run, idempotency, structured errors, confirmation flow.
MCP server exposing tools for a small food business: catalog, booking capacity, stock, catering quotes, and orders. Enables natural-language interaction with these operations via any MCP client, including a LangGraph agent.