"DoorDash" matching MCP servers:

Enables AI agents to search restaurants, browse menus, manage carts, and place orders on DoorDash programmatically. It utilizes a headless browser to interact with DoorDash's GraphQL API and bypass anti-bot protections for the full delivery lifecycle.

Enables AI agents to shop on DoorDash through 16 consumer tools covering account and order history, restaurant and menu browsing, cart edits, checkout previews, and order placement (including charging a saved card). It authenticates via a user-launched Chrome session on Windows and encrypts session and operation records with Windows DPAPI.

AI agents can order DoorDash food delivery: search restaurants, browse menus, add items to cart, place orders, and track delivery in real-time.

Enables AI agents to search restaurants, place delivery orders, and track real-time delivery status using the DoorDash Drive API. It includes a built-in mock data mode that allows for testing and demonstrating delivery lifecycles without requiring live API credentials.

Order food on DoorDash — search stores, compare real fee-included totals from live quotes, and build carts; placing an order always requires a human approval dialog (fail closed without elicitation). Local macOS server driving DoorDash's official dd-cli.

Enables AI agents to discover and order food from multiple delivery services (DoorDash, UberEats, Grubhub) using A2A protocol and process payments via Stripe with AP2 protocol mandates for cryptographically signed user authorization.

Provides a RESTful interface to DoorDash consumer services, eliminating the need for clients to handle JSON-RPC or SSE. Users can browse restaurants, manage carts, and fetch order receipts via simple HTTP endpoints.