A POC implementation of an MCP server for Uber Eats integration, enabling seamless interaction between LLM applications and Uber Eats platform
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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:
uv venv source .venv/bin/activate # On Unix/Mac
-
Install required packages:
uv pip install -r requirements.txt playwright install
-
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
Features
playwright
automation
stdio
debugging
Category
Integrations