Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"uber-eats-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
This is a POC of how you can build an MCP servers on top of Uber Eats
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in ecommerce
Production-grade MCP server and CLI tool for Shopify Admin GraphQL API — 49+ tools, YAML-extensible, dual auth, dual transport, Docker-ready
A command line tool for setting up commercetools MCP server
35+ AI tools for TCG card grading, Monte Carlo pricing, 370K+ product search. BYOK.
This is the reference implementation for the mcp server
MCP Security Weekly
Get CVE alerts and security updates for Uber Eats Mcp Server and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
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
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external tools.
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
Since we're using stdio as MCP transport, we have disable all output from browser use
You can run the MCP inspector tool with this command
uv run mcp dev server.py