"Uber Eats" matching MCP servers:

Enables interaction with Uber Eats for food ordering and delivery management through natural language, acting as a proof-of-concept MCP integration.

A proof-of-concept Model Context Protocol server that enables LLM applications to interact with Uber Eats, allowing AI agents to browse and order food through natural language.

A proof-of-concept server implementing the Model Context Protocol that enables LLM applications to interact with Uber Eats functionality.

MCP server for Uber Eats that lets AI agents search restaurants, browse menus, place orders, and track deliveries using Playwright browser automation.

Enables read-only querying of your Uber Eats order history—orders, items, fare breakdowns, tips, refunds, and card charges—by reusing your existing Chrome sign-in session.

MCP server for Yandex Eats Vendor Management API, enabling AI agents to manage partner operations like orders, busy mode, menu import, and feedback.

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.

Enables agents to list Uber Eats orders, fetch itemized receipt and summary files, and update group-order debt ledgers that preserve existing rows and paid state. It also exports a live Safari browser session cookie to a private file for authentication.

MCP server for ConnectPlug's API enabling read-only querying of sales, inventory, financial data, DRE, and orders from iFood, Rappi, and Uber Eats for restaurants and retail.

Enables searching restaurants and menu items, viewing availability and full menus, and managing restaurant carts via the private Yandex.Eats web API, secured with single-user OAuth, without exposing sensitive account or location data.