Back to Automation

Uber Eats Automation

Integrates with Uber Eats to enable automated menu searches and food order placements via browser interactions, streamlining the food discovery and ordering process.

Last updated: 1/27/2026

README

# Uber Eats MCP Server

This is a POC of how you can build an MCP servers on top of Uber Eats

https://github.com/user-attachments/assets/05efbf51-1b95-4bd2-a327-55f1fe2f958b

## What is MCP?

The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) is an open protocol that enables seamless integration between LLM applications and external tools.

## Prerequisites

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

## Setup

1. Ensure you have a virtual environment activated:
   ```
   uv venv
   source .venv/bin/activate  # On Unix/Mac
   ```

2. Install required packages:
   ```
   uv pip install -r requirements.txt
   playwright install
   ```

3. Update the `.env` file with your API key:
   ```
   ANTHROPIC_API_KEY=your_openai_api_key_here
   ```

## Note

Since we're using stdio as MCP transport, we have disable all output from browser use

## Debugging

You can run the MCP inspector tool with this command

```bash
uv run mcp dev server.py
```

Installation

Add this MCP to your configuration:

{
  "mcpServers": {
    "uber-eats-automation": {
      // See GitHub repository for configuration
    }
  }
}

See the GitHub repository for full installation instructions.