Ubereats

@striderlabs/mcp-ubereats

[npm] [MCP Registry] [License: MIT]

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 in2. ubereats_set_address     — set where to deliver3. ubereats_search          — find restaurants4. ubereats_get_restaurant  — browse the menu5. ubereats_add_to_cart     — add items6. ubereats_view_cart       — review cart7. 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.gitcd mcp-ubereatsnpm installnpm run buildnpm start

License

MIT © Strider Labs

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