@striderlabs/mcp-doordash

Order food delivery via DoorDash using AI agents

Part of Strider Labs — action execution for personal AI agents.

Get Started in 2 Minutes

For Claude Desktop Users

Add this to ~/.openclaw/config.json or your Claude Desktop config:

json

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

Restart Claude.
Tell Claude: "Order Thai food from nearby for delivery today"

Your agent can now place orders. That's it.

Installation (NPM)

bash

npm install @striderlabs/mcp-doordash

Or with npx directly:

bash

npx @striderlabs/mcp-doordash

Features

🔍 Search restaurants by name, cuisine, or food type
📜 Browse menus with full item details and prices
🛒 Add to cart with quantity and special instructions
💳 Place orders with confirmation step
📍 Track orders with real-time status updates
🔐 Persistent sessions - stay logged in across restarts
🔄 Automatic MFA - handles multi-factor authentication
📱 Per-user credentials - encrypted session storage

Tested & Compatible

Component	Version	Status
MCP SDK	^1.0.0	✅
Node.js	18+	✅
Claude Desktop	Latest	✅
Claude (API)	claude-3.5-sonnet+	✅
Anthropic SDK	^0.20+	✅

Metrics

Weekly downloads: 395 (Apr 10-17, 2026) — #1 Strider Labs connector (+24% growth)
Status: ✅ Live in production
Reliability: 85%+ task completion rate
Discovery: npm, Claude Plugins, mcpservers.org, ClawHub, PulseMCP

Available Elsewhere

npm: npmjs.com/@striderlabs/mcp-doordash
Claude Plugins: Search "Strider Labs" in Claude
mcpservers.org: Strider Labs DoorDash
Full Strider Labs: github.com/striderlabsdev/striderlabs

How It Works

For Agents

Your agent can use these capabilities:

javascript

// Search for restaurants
restaurants = search_restaurants({
  location: "San Francisco, CA",
  cuisine: "Thai",
  max_delivery_time: 30
})

// Browse a restaurant's menu
menu = get_restaurant_menu({
  restaurant_id: "thai-place-downtown",
  search: "Pad Thai"
})

// Place an order
order = place_order({
  restaurant_id: "thai-place-downtown",
  items: [
    { item_id: "pad_thai", quantity: 1 },
    { item_id: "spring_rolls", quantity: 2 }
  ],
  delivery_address: "123 Main St, San Francisco, CA",
  special_instructions: "Extra lime on the side"
})

// Track delivery
status = track_order({ order_id: order.order_id })

Session Management

Each user has encrypted, persistent credentials
Automatic OAuth token refresh
MFA handling (SMS/email)
Sessions survive agent restarts

Reliability

85%+ task completion rate
Automated UI change detection (connectors update when DoorDash changes)
Fallback paths for failures
24/7 monitoring + alerting

Configuration

Environment Variables

bash

# Optional: Use a specific DoorDash account
DOORDASH_EMAIL=your-email@example.com
DOORDASH_PASSWORD=your-password  # Highly recommend using .env file

Self-Hosted

bash

# Clone the repo
git clone https://github.com/striderlabsdev/mcp-doordash
cd mcp-doordash

# Install dependencies
npm install

# Start the server
npm start

# Your agent can now connect to localhost:3000

Architecture

How We Connect

This connector uses browser automation (Playwright) to interact with DoorDash, because DoorDash doesn't have a public API. Here's why that's safe and reliable: