Overview
What is uber-eats-mcp-server
The uber-eats-mcp-server is a proof of concept (POC) demonstrating how to build an MCP server utilizing the Uber Eats platform, leveraging the Model Context Protocol (MCP) for seamless integration with large language model (LLM) applications.
How to Use
To use the uber-eats-mcp-server, first ensure you have Python 3.12 or higher and an API key from Anthropic or another supported LLM provider. Set up a virtual environment, install the required packages, and update the .env file with your API key. You can then run the MCP inspector tool for debugging.
Key Features
Key features include seamless integration with LLM applications, support for the Model Context Protocol, and a debugging tool for inspecting MCP operations.
Use Cases
Use cases for the uber-eats-mcp-server include developing applications that require real-time data from Uber Eats, creating chatbots that can interact with users about food delivery, and integrating LLM capabilities into food service applications.
Content
MarkItDown
Github MCP
Skyvern
Blender
anything-llm
chatbox
semantic-kernel
MaxKB
repomix
