Uber Eats MCP Server

What is Uber Eats MCP Server?

The Uber Eats MCP Server is a proof of concept (POC) demonstrating how to build Model Context Protocol (MCP) servers on top of the Uber Eats platform, enabling seamless integration between large language model (LLM) applications and external tools.

How to use Uber Eats MCP Server?

To use the Uber Eats MCP Server, set up a Python environment, install the required packages, and configure your API key in the .env file. Then, you can run the MCP inspector tool to start the server.

Key features of Uber Eats MCP Server?

• Integration with the Model Context Protocol (MCP) for LLM applications.
• Easy setup with Python and required packages.
• Debugging capabilities with the MCP inspector tool.

Use cases of Uber Eats MCP Server?

1. Building applications that require integration with Uber Eats data.
2. Developing LLM applications that utilize external APIs.
3. Creating custom tools for enhanced user experiences in food delivery services.

FAQ from Uber Eats MCP Server?

• What is MCP?

The Model Context Protocol (MCP) is an open protocol that facilitates integration between LLM applications and external tools.

• What are the prerequisites for using this server?

You need Python 3.12 or higher and an API key from a supported LLM provider.

• How do I install the required packages?

You can install the required packages by running pip install -r requirements.txt after activating your virtual environment.