Provides an interface to interact with Uber Eats, likely enabling food ordering, restaurant browsing, and menu exploration capabilities through the Uber Eats platform.
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
- Ensure you have a virtual environment activated:
- Install required packages:
- Update the
.env
file with your API key:
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
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A proof-of-concept server implementing the Model Context Protocol that enables LLM applications to interact with Uber Eats functionality.
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