Uber Eats Automation MCP server

This MCP server allows you to integrate Uber Eats functionality with Large Language Models (LLMs) using the Model Context Protocol. It provides LLMs with the capability to search for restaurants, browse menus, and place orders through a programmatic interface.

Prerequisites

• Python 3.12 or higher
• Anthropic API key or other supported LLM provider

Installation

Setting Up Your Environment

1. Create and activate a virtual environment:

uv venv
source .venv/bin/activate  # On Unix/Mac

2. Install the required packages:

uv pip install -r requirements.txt
playwright install

3. Configure your API key by updating the .env file:

ANTHROPIC_API_KEY=your_openai_api_key_here

Usage

Starting the MCP Server

To run the MCP server with the inspector tool for debugging:

uv run mcp dev server.py

Integration Notes

• The server uses stdio as the MCP transport mechanism
• Browser output is disabled to prevent interference with the MCP communication channel
• The server handles requests from LLMs to search Uber Eats, browse restaurant menus, and potentially place orders

Working with the Model Context Protocol

When connected to an LLM that supports MCP, this server will respond to queries about food delivery options, enabling the model to:

• Search for restaurants by location or cuisine
• Browse available menu items
• View pricing and delivery information
• Assist with the ordering process

The protocol facilitates seamless communication between the language model and the Uber Eats platform, allowing for context-aware interactions.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.