uber-eats-mcp-server

uber-eats-mcp-server

176
cloud_platforms

The Uber Eats MCP Server project is a proof of concept for creating Model Context Protocol servers to work with Uber Eats. It aims to facilitate integration with external tools using an open protocol and requires Python and specific API keys.

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