Skip to main content
Glama
DanteMagg

DoorDash over text

by DanteMagg

Poke × DoorDash CLI recipe

A Poke recipe that lets Poke order DoorDash for you over text, powered by DoorDash's official dd-cli (limited beta, announced 2026-07-15 by @andyfang).

Poke installs recipe integrations as MCP servers, so this repo is a thin MCP bridge: Poke → tunnel → server.mjsdd-cli → DoorDash.

Prerequisites

  1. dd-cli — official binary from doordash-oss/doordash-cli (macOS Apple Silicon only). v0.2.0 tarball is downloaded + SHA256-verified in ~/Downloads/dd-cli-v0.2.0-darwin-arm64/; run bash install.sh there, then dd-cli login. Full functionality is waitlist-gated — join at https://forms.gle/gvCQZvu9C1EKA6aM6.

  2. Node 18+, a Poke account with Kitchen access.

  3. Log in once via dd-cli login (interactive; credentials go to the macOS keychain).

Related MCP server: doordash-mcp

Run + publish

npm install
npm start                # MCP server on http://localhost:3737/mcp
npm run tunnel           # in a second terminal: tunnels to Poke and creates the recipe

npm run tunnel runs npx poke@latest tunnel http://localhost:3737/mcp -n "DoorDash CLI" --recipe, which prints a shareable recipe link + QR code. (Log in first with npx poke@latest login. The tunnel only forwards the port — start npm start before it.)

Then polish in Kitchen → your recipe. Use RECIPE.md as the recipe's instruction text — it's the agent-facing operating manual (the pattern used by published CLI-backed recipes like poke-pc). Kitchen field suggestions:

  • Name: DoorDash over text

  • Description: Text Poke to find food, compare deals, build a cart, and order DoorDash — with an explicit confirmation of the itemized total before anything is charged.

  • inputContext: Ask the user for their delivery address (or confirm the account default), any dietary restrictions, favorite cuisines/restaurants, a typical budget per order, and default tip preference.

  • prefilledFirstText: "Hey Poke — find me dinner on DoorDash. Show me a couple of good options with any deals, and always confirm the total with me before ordering."

Publishing in Kitchen makes it installable by others (and payout-eligible).

Tools exposed

Full toolset built from the complete dd-cli v0.2.0 --help tree (readable after dd-cli login). 27 tools covering the whole surface:

  • Discovery: search_restaurants, find_nearby_stores (grocery/retail/alcohol/ convenience/pets), get_menu, find_items, restaurant_item_details, item_details, store_details, build_grocery_list

  • Account: list_addresses, payment_methods, doordash_status

  • Cart: cart_list (pre-flight before creating carts), cart_add_items, cart_show, cart_remove_item, cart_delete

  • Promos: promo_list, promo_apply, promo_remove

  • Orders: order_history, order_reorder, order_preview (relays dd-cli's --beautify summary verbatim), order_submit, order_status, order_receipt, checkout_url (browser fallback for payment-method swaps)

  • Escape hatch: dd_cli raw passthrough (login and raw order submit blocked)

Safety, per dd-cli's own agent guidance baked into descriptions + hard guards:

  • order_submit charges the default card immediately and requires user_confirmed=true — legitimate only after the preview was shown, the total approved, the card NAMED (brand + last4 from payment_methods), and the Dasher tip explicitly confirmed (in cents).

  • Duplicate submits of the same cart are blocked in-process (dd-cli has no upstream idempotency — a resubmit would double-order).

  • Cart writes auto-spaced ~8s apart (DoorDash rate limiting).

  • Errors map to not_logged_in / waitlist_pending / dd_cli_not_found with actionable messages the Poke agent can relay.

If the binary isn't named dd-cli on PATH, set DD_CLI_BIN.

Related MCP Connectors

Related MCP Servers

  • A
    license
    B
    quality
    D
    maintenance
    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.
    7
    16 npm
    2
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    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.
    22
    16 npm
    3
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables ordering DoorDash through Poke over text, exposing tools for restaurant discovery, cart management, promotions, and order submission with purchase safety features.
    MIT