"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, browse menus, and manage DoorDash carts through structured JSON data. It leverages a background browser to handle authentication and direct GraphQL API calls for efficient interaction.

Enables AI agents to quote, schedule, dispatch, and track DoorDash Drive deliveries for restaurants and stores, including staggered batch scheduling for catering runs and launch nights, an operations board, and diagnostics check-ins. Actions that spend money or cancel work require explicit user confirmation, while quotes, tracking, and planning run freely.

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.