Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"doordash": {
"args": [
"-y",
"@striderlabs/mcp-doordash"
],
"command": "npx"
}
}
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Order food delivery via DoorDash using AI agents
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This is the reference implementation for the mcp server
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Order food delivery via DoorDash using AI agents
Part of Strider Labs — action execution for personal AI agents.
~/.openclaw/config.json or your Claude Desktop config:{
"mcpServers": {
"doordash": {
"command": "npx",
"args": ["-y", "@striderlabs/mcp-doordash"]
}
}
}
Your agent can now place orders. That's it.
npm install @striderlabs/mcp-doordash
Or with npx directly:
npx @striderlabs/mcp-doordash
| Component | Version | Status |
|---|---|---|
| MCP SDK | ^1.0.0 | ✅ |
| Node.js | 18+ | ✅ |
| Claude Desktop | Latest | ✅ |
| Claude (API) | claude-3.5-sonnet+ | ✅ |
| Anthropic SDK | ^0.20+ | ✅ |
Your agent can use these capabilities:
// 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 })
# 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 th
... [View full README on GitHub](https://github.com/markswendsen-code/mcp-doordash#readme)