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uber-eats-mcp-server

Integrate with Uber Eats to facilitate food delivery services while leveraging external tools in LLM applications. This server serves as a proof of concept for building rich, interactive solutions centered around food delivery.

Author

uber-eats-mcp-server logo

ericzakariasson

No License

Quick Info

GitHub GitHub Stars 204
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

uberecommercemcpuber eatsmcp serverintegrate uber

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

See Also

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