@striderlabs/mcp-ubereats

MCP server for Uber Eats — let AI agents search restaurants, browse menus, place orders, and track deliveries.

Built by Strider Labs.

Features

• Search restaurants by name, cuisine, or food type
• Browse full menus with item details and prices
• Add items to cart with quantity and special instructions
• Clear cart and start fresh
• Place orders with a mandatory confirmation step
• Track active order status and delivery progress
• Persistent sessions — stay logged in across restarts

Installation

npm install -g @striderlabs/mcp-ubereats

Or run directly with npx:

npx @striderlabs/mcp-ubereats

Configuration

Add to your MCP client configuration (e.g., Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "ubereats": {
      "command": "npx",
      "args": ["-y", "@striderlabs/mcp-ubereats"]
    }
  }
}

Authentication

This connector uses Playwright browser automation. On first use:

1. Call ubereats_status — it will return a login URL
2. Open the URL in your browser and log in to Uber Eats
3. Run ubereats_status again to verify the session was saved
4. Session cookies are stored at ~/.strider/ubereats/cookies.json
5. Sessions persist automatically across restarts

To log out or reset your session:

ubereats_logout

Available Tools

Session Management

Delivery

Restaurants & Menus

Cart & Ordering

Example Usage

Check login status

{
  "tool": "ubereats_status"
}

Set delivery address

{
  "tool": "ubereats_set_address",
  "arguments": {
    "address": "123 Main St, San Francisco, CA 94102"
  }
}

Search for restaurants

{
  "tool": "ubereats_search",
  "arguments": {
    "query": "sushi",
    "cuisine": "japanese"
  }
}

Get restaurant menu

{
  "tool": "ubereats_get_restaurant",
  "arguments": {
    "restaurantId": "nobu-restaurant-sf"
  }
}

Add to cart

{
  "tool": "ubereats_add_to_cart",
  "arguments": {
    "restaurantId": "nobu-restaurant-sf",
    "itemName": "Spicy Tuna Roll",
    "quantity": 2,
    "specialInstructions": "No wasabi please"
  }
}

Preview order before placing

{
  "tool": "ubereats_checkout",
  "arguments": {
    "confirm": false
  }
}

Place the order

{
  "tool": "ubereats_checkout",
  "arguments": {
    "confirm": true
  }
}

Track order

{
  "tool": "ubereats_track_order",
  "arguments": {
    "orderId": "abc123"
  }
}

Typical Workflow

1. ubereats_status          — check if logged in
2. ubereats_set_address     — set where to deliver
3. ubereats_search          — find restaurants
4. ubereats_get_restaurant  — browse the menu
5. ubereats_add_to_cart     — add items
6. ubereats_view_cart       — review cart
7. ubereats_checkout        — preview (confirm=false), then place (confirm=true)
8. ubereats_track_order     — track delivery

Requirements

• Node.js 18+
• Playwright (Chromium browser auto-installed on first run)
• An active Uber Eats account with a saved payment method

How It Works

1. Headless Chrome — Playwright runs a real browser in the background
2. Stealth mode — Browser fingerprint mimics a real user to avoid detection
3. Cookie persistence — Login sessions are saved and reloaded automatically
4. Structured responses — All tool outputs are JSON for easy parsing

Security

• Session cookies stored locally at ~/.strider/ubereats/cookies.json
• No credentials are stored — authentication uses the browser-based Uber login flow
• Cookies never leave your machine

Limitations

• Uber Eats must be available in your region
• Menu customizations (modifiers, options) may require additional interaction
• Order placement requires a valid payment method on your Uber Eats account
• Dynamic pricing and availability may differ from what is displayed

Development

git clone https://github.com/markswendsen-code/mcp-ubereats.git
cd mcp-ubereats
npm install
npm run build
npm start

License

MIT © Strider Labs

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