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Uber Eats MCP Server

by skudskud
GitHub
Python
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Integrations

  • Provides an interface to interact with Uber Eats, likely enabling food ordering, restaurant browsing, and menu exploration capabilities through the Uber Eats platform.

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

This server cannot be installed

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security - not tested
F
license - not found
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quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

A proof-of-concept server implementing the Model Context Protocol that enables LLM applications to interact with Uber Eats functionality.

  1. What is MCP?
    1. Prerequisites
      1. Setup
        1. Note
          1. Debugging

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