# @striderlabs/mcp-starbucks

> Use this tool when you need to integrate Starbucks services into your AI application, enabling users to search menus, customize drinks, find stores, and place orders. It solves problems such as streamlining food ordering and rewards management, and provides inputs like user preferences and location, with outputs like order confirmations and rewards balances. Ideal for use cases involving conversational commerce and customer service interfaces.

Canonical page: https://skillsregistry.net/skills/markswendsen-code-mcp-starbucks  
JSON: https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-starbucks

## Description

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

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xg431rj9ya)
- **Repository:** <https://github.com/markswendsen-code/mcp-starbucks>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "markswendsen-code-mcp-starbucks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-starbucks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-starbucks/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt