About
Uber Eats — Model Context Protocol server
README
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/MacInstall required packages:
uv pip install -r requirements.txt playwright installUpdate the
.envfile 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
Installing Uber Eats
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/ericzakariasson/uber-eats-mcp-serverFAQ
Is Uber Eats MCP free?
Yes, Uber Eats MCP is free — one-click install via Unyly at no cost.
Does Uber Eats need an API key?
No, Uber Eats runs without API keys or environment variables.
Is Uber Eats hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Uber Eats in Claude Desktop, Claude Code or Cursor?
Open Uber Eats on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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