About ubereats
ubereats is an MCP server for AI agents to search Uber Eats restaurants, browse menus, order food, and track deliveries. It uses browser-based login with locally persisted sessions and requires confirmation before placing orders.
Key features
- 01Search restaurants by name, cuisine, or food
- 02Browse menus, item details, and prices
- 03Manage cart items and special instructions
- 04Place orders with confirmation
- 05Track order status and delivery progress
- 06Persist login sessions across restarts
Use cases
- 01Find restaurants for a delivery address
- 02Compare menus and choose dishes
- 03Review a cart before confirming an order
- 04Check delivery progress for an active order
MCP support
The MCP server provides compatible clients with tools for Uber Eats login status, restaurant search, menu browsing, cart management, checkout, and order tracking. Order placement requires explicit confirmation.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
11Saved tool list · updated 2w ago
This tool takes no parameters.
Details
From the project README@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:
- Call
ubereats_status— it will return a login URL - Open the URL in your browser and log in to Uber Eats
- Run
ubereats_statusagain to verify the session was saved - Session cookies are stored at
~/.strider/ubereats/cookies.json - Sessions persist automatically across restarts
To log out or reset your session:
ubereats_logout
Available Tools
Session Management
| Tool | Description |
|---|---|
ubereats_status | Check login status; returns login URL if not authenticated |
ubereats_login | Get the login URL to open in a browser |
ubereats_logout | Clear stored session cookies (log out) |
Delivery
| Tool | Description |
|---|---|
ubereats_set_address | Set delivery address before searching |
Restaurants & Menus
| Tool | Description |
|---|---|
ubereats_search | Search restaurants by name, food type, or cuisine |
ubereats_get_restaurant | Get restaurant details and full menu |
Cart & Ordering
| Tool | Description |
|---|---|
ubereats_add_to_cart | Add an item to cart with quantity and special instructions |
ubereats_view_cart | View current cart contents and totals |
ubereats_clear_cart | Remove all items from cart |
ubereats_checkout | Preview or place the order (confirm=true to place) |
ubereats_track_order | Track an active order's status and ETA |
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
- Headless Chrome — Playwright runs a real browser in the background
- Stealth mode — Browser fingerprint mimics a real user to avoid detection
- Cookie persistence — Login sessions are saved and reloaded automatically
- 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
Related
- @striderlabs/mcp-doordash — DoorDash MCP connector
- @striderlabs/mcp-gmail — Gmail MCP connector
- Model Context Protocol — Learn more about MCP
Comments
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