Starbucks
БесплатноНе проверенMCP server for Starbucks - let AI agents order coffee
Описание
MCP server for Starbucks - let AI agents order coffee
README
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
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": "[email protected]",
"STARBUCKS_PASSWORD": "your-password"
}
}
}
}
Credentials can also be passed directly via the starbucks_login tool.
Tools
| Tool | Description |
|---|---|
starbucks_status |
Check connection and login status |
starbucks_login |
Authenticate with Starbucks credentials |
starbucks_logout |
Clear session cookies |
search_menu |
Search menu by name, category, or dietary preference |
get_item_details |
Get full item details and customization options |
customize_item |
Build a customized drink or food order |
add_to_cart |
Add customized item to cart |
view_cart |
View current cart with pricing |
get_nearby_stores |
Find nearby Starbucks locations |
select_store |
Select pickup store |
place_order |
Submit mobile pickup order |
get_order_status |
Track order status and pickup time |
get_rewards |
Check Star balance and available rewards |
redeem_reward |
Apply a reward to current order |
get_order_history |
View past orders |
reorder_favorite |
Quick reorder from a past order |
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 onlytall(12 fl oz)grande(16 fl oz)venti_hot(20 fl oz) — hot drinksventi_cold(24 fl oz) — cold drinks
Milk
2percent,nonfat,whole— standard, no chargeoat,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
| Variable | Description |
|---|---|
STARBUCKS_EMAIL |
Starbucks account email (optional — can use starbucks_login tool) |
STARBUCKS_PASSWORD |
Starbucks account password (optional) |
License
MIT — Strider Labs
Установка Starbucks
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/markswendsen-code/mcp-starbucksFAQ
Starbucks MCP бесплатный?
Да, Starbucks MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Starbucks?
Да, требуются переменные окружения: STARBUCKS_EMAIL, STARBUCKS_PASSWORD. Unyly подставит их в конфиг при установке.
Starbucks — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Starbucks в Claude Desktop, Claude Code или Cursor?
Открой Starbucks на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Opencode Omniroute Plugin
OpenCode plugin for the OmniRoute AI Gateway. Drives dynamic model discovery, /connect auth flow, and multi-instance OmniRoute providers via the official @openc
автор: GitHub ActionsRoblox Studio
Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, sce
автор: paralovAntigravity Drawio
MCP server that enables AI assistants to create, parse, render, and validate Draw.io diagrams programmatically.
автор: S-SUJAN-SFetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
автор: lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
Compare Starbucks with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
