@striderlabs/mcp-starbucks

MCP server for Starbucks — let AI agents search the menu, customize drinks, find stores, place mobile pickup orders, and manage Starbucks Rewards.

Features

• Full menu search — search by name, category, or dietary preference (vegan, vegetarian, etc.)

• Item customization — size, milk type, syrups, espresso shots, temperature, foam, and more

• Cart management — add items, view cart, adjust quantities

• Store finder — find nearby Starbucks locations with hours and features

• Mobile ordering — place mobile pickup orders (requires Starbucks account)

• Starbucks Rewards — check Star balance, reward level, and redeem rewards

• Order history — view past orders and quickly reorder favorites

• Session persistence — cookies saved at ~/.striderlabs/starbucks/cookies.json

Related MCP server: intelligence-api

Installation

npm install -g @striderlabs/mcp-starbucks
npx playwright install chromium

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "starbucks": {
      "command": "striderlabs-mcp-starbucks",
      "env": {
        "STARBUCKS_EMAIL": "your-email@example.com",
        "STARBUCKS_PASSWORD": "your-password"
      }
    }
  }
}

Credentials can also be passed directly via the starbucks_login tool.

Tools

Example Workflow

1. starbucks_status           → check if logged in
2. starbucks_login            → authenticate (if needed)
3. search_menu query="latte"  → browse menu options
4. get_item_details itemId="hot-latte"
                              → see customization options
5. customize_item itemId="hot-latte"
     customizations={"size":"grande","milk":"oat","syrup":"vanilla"}
6. add_to_cart quantity=1     → add to cart
7. view_cart                  → review order
8. get_nearby_stores address="94105"
                              → find pickup location
9. select_store storeId="sbux-1001"
10. get_rewards               → check available rewards
11. redeem_reward rewardId="reward-123"
                              → apply reward (optional)
12. place_order confirm=false → preview order
13. place_order confirm=true  → submit order
14. get_order_status          → track preparation

Customization Options

Size

• short (8 fl oz) — hot drinks only

• tall (12 fl oz)

• grande (16 fl oz)

• venti_hot (20 fl oz) — hot drinks

• venti_cold (24 fl oz) — cold drinks

Milk

• 2percent, nonfat, whole — standard, no charge

• oat, almond, coconut, soy — +$0.70

Espresso Roast

• signature (Starbucks Signature Espresso Roast)

• blonde (Blonde Espresso Roast)

• decaf

Syrups / Flavorings

vanilla, caramel, hazelnut, toffee_nut, cinnamon_dolce, peppermint, sugar_free_vanilla, brown_sugar, mocha, white_mocha

Temperature (hot drinks)

hot, extra_hot, warm, kids_temp

Foam

standard, extra_foam, no_foam, light_foam

Technical Details

• Browser automation: Playwright (Chromium) with stealth patches

• Session persistence: Cookies stored at ~/.striderlabs/starbucks/cookies.json

• Transport: MCP stdio

• Ordering: Uses Starbucks web ordering API with Playwright automation fallback

Environment Variables

License

MIT — Strider Labs