Strider DoorDash

Order food delivery via DoorDash using AI agents

Part ofStrider Labs— action execution for personal AI agents.
- Add this to~/.openclaw/config.jsonor your Claude Desktop config:

{ "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.

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

- 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

- 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

// 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 })

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

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

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

# 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

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:

- User-controlled:Your agent only accesses your own DoorDash account
- Session-based:We store your login session securely, not your password
- Change-aware:We detect DoorDash UI changes and alert immediately
- Fingerprinting:We use realistic browser profiles to avoid bot detection
- Rate-limited:We respect DoorDash's infrastructure with appropriate delays

- Credentials stored encrypted in your local.envor secure vault
- Sessions isolated per user
- No data sent to third parties
- MIT Licensed — audit the code yourself

- 📖Full Strider Labs Docs
- 🐛Report Issues
- 💬Discussions
- 🌐Website
- 📧Email

MIT — Free to use, modify, and distribute. SeeLICENSEfor details.

MCP server for Amazon shopping - AI agents can search products, check prices, add to cart, and manage shopping lists.