mcp-ubereats
MCP server for Uber Eats - let AI agents order food delivery
Install / Use
claude mcp add markswendsen-code -- npx -y github:markswendsen-code/mcp-ubereatsIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Tags
Our assessment of mcp-ubereats
mcp-ubereats scores 71/100 on our quality scale, 2646th of 2,870 Automation skills we index.
Its MCP Server is 5.7 KB long, well organised into 27 sections with 14 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 8 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-08-12 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 69/100, with 4 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
mcp-ubereats compared with similar skills
All 4 of these similar skills score higher than mcp-ubereats; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp-ubereats (this skill)by markswendsen-code | 71 | 3 | 8mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 106.6k | 5d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.3k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.7k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 90.4k | 1d ago | MCP Server |
Frequently asked questions
- How do I install mcp-ubereats?
- Run
claude mcp add markswendsen-code -- npx -y github:markswendsen-code/mcp-ubereats. The install tabs above show the steps for each supported agent. - Which AI agents does mcp-ubereats work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp-ubereats safe to use?
- It declares no license and scores 69/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mcp-ubereats still maintained?
- The repository was last updated about 8 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHub@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
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
