Uber Eats MCP Server

@MCP-Mirror

Repository

Basic information

About Uber Eats MCP Server

Mirror of

#uber-eats#mcp-server #api-integration

Uber Eats MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ericzakariasson_uber-eats-mcp-server": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "dev",
        "server.py"
      ]
    }
  }
}

Uber Eats MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Uber Eats MCP Server?

A proof-of-concept MCP server that demonstrates how to build Model Context Protocol servers on top of Uber Eats. It is for developers exploring integration between LLM applications and Uber Eats via browser automation.

How to use Uber Eats MCP Server?

Activate a Python virtual environment with uv venv and source .venv/bin/activate, install dependencies (uv pip install -r requirements.txt and playwright install), then set an Anthropic API key in the .env file. The server uses stdio transport and can be debugged with uv run mcp dev server.py.

Key features of Uber Eats MCP Server

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Use cases of Uber Eats MCP Server

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Frequently asked questions

What Python version is required?

Python 3.12 or higher.

What API key is needed?

An Anthropic API key, set in the `.env` file under `ANTHROPIC_API_KEY`.

How do I install the required packages?

Run `uv pip install -r requirements.txt` and then `playwright install`.

What transport does the server use?

Standard input/output (stdio) transport, so all browser output from Playwright is disabled.

How can I debug the server?

Use the MCP inspector tool with the command `uv run mcp dev server.py`.

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