A POC implementation of an MCP server for Uber Eats integration, enabling seamless interaction between LLM applications and Uber Eats platform
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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

Features

playwright
automation
stdio
debugging

Category

Integrations