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Uber Eats

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Uber Eats — Model Context Protocol server

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Uber Eats — Model Context Protocol server

README

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

from github.com/ericzakariasson/uber-eats-mcp-server

Installing Uber Eats

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/ericzakariasson/uber-eats-mcp-server

FAQ

Is Uber Eats MCP free?

Yes, Uber Eats MCP is free — one-click install via Unyly at no cost.

Does Uber Eats need an API key?

No, Uber Eats runs without API keys or environment variables.

Is Uber Eats hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Uber Eats in Claude Desktop, Claude Code or Cursor?

Open Uber Eats on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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