Uber Eats MCP server

This implementation serves as an MCP (Model Context Protocol) server built on top of Uber Eats, allowing Large Language Models to interact with the Uber Eats platform through a standardized protocol.

Overview

The Model Context Protocol (MCP) enables seamless integration between LLM applications and external tools. This server implements MCP specifically for Uber Eats functionality, allowing AI models to interact with food delivery services.

Installation Requirements

• Python 3.12 or higher
• Anthropic API key or other supported LLM provider

Setting Up the Environment

Create and Activate a Virtual Environment

uv venv
source .venv/bin/activate  # On Unix/Mac

Install Dependencies

Install all required packages and set up Playwright for browser automation:

uv pip install -r requirements.txt
playwright install

Configure API Keys

Update the .env file with your API credentials:

ANTHROPIC_API_KEY=your_openai_api_key_here

Running the Server

To run the MCP server in development mode with the inspector tool:

uv run mcp dev server.py

Important Notes

The server uses stdio as the MCP transport mechanism, which requires disabling all output from browser usage to prevent interference with the protocol communication.

Testing the Integration

Once running, the server will allow LLM applications to interact with Uber Eats through the standardized MCP interface. The model can query restaurant information, browse menus, and potentially place orders through this integration.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.