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Uber Eats Automation MCP Logo

Uber Eats Automation MCP

Model Context Protocol Integration

Overview

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

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.

Installation Instructions

README: https://github.com/skudskud/test-repo-mcp

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) 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

uv run mcp dev server.py

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A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, execute JavaScript, and perform various browser-based operations in a real browser environment.