Eats FAQs

Question 1

What is Eats?

Accepted Answer

Eats is a proof-of-concept implementation for building Model Context Protocol (MCP) servers using data from Uber Eats. It allows you to connect Large Language Models (LLMs) with real-world restaurant and food data.

Question 2

What are the prerequisites for using Eats?

Accepted Answer

You'll need Python 3.12 or higher and an API key for a supported LLM provider like Anthropic. Also, setting up a virtual environment and installing necessary packages are required.

Question 3

How do I set up and run Eats?

Accepted Answer

First, create and activate a virtual environment. Then, install the required packages using `uv pip install -r requirements.txt`. Finally, update the `.env` file with your API key.

Question 4

What is the Model Context Protocol (MCP)?

Accepted Answer

The Model Context Protocol (MCP) is an open protocol enabling seamless integration between LLM applications and external tools, allowing them to access and use real-world data.

Question 5

How can I debug Eats?

Accepted Answer

You can use the MCP inspector tool with the command `uv run mcp dev server.py` to debug your Eats implementation.

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