# Coffee Company MCP Server

> Use this tool when you need to integrate AI agents with Coffee Company's B2B APIs to manage customer assets and loyalty details. It solves problems of fragmented customer data and manual API querying, providing a seamless interface for AI assistants to retrieve member information, benefits, and payment statuses. The tool takes natural language inputs and outputs relevant customer data, making it ideal for use cases involving customer service, loyalty program management, and personalized marketing.

Canonical page: https://skillsregistry.net/skills/sawzhang-coffee-company-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sawzhang-coffee-company-mcp

## Description

An MCP adapter that maps Coffee Company B2B HTTP APIs to MCP tools, allowing AI agents to query member information, benefits, coupons, and payment statuses. It enables seamless integration for AI assistants to manage coffee-related customer assets and loyalty details through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ekuwnaoow0)
- **Repository:** <https://github.com/sawzhang/coffee-mcp>

## 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": "sawzhang-coffee-company-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sawzhang-coffee-company-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sawzhang-coffee-company-mcp/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