# @striderlabs/mcp-shakeshack

> Use this tool when you need to interact with Shake Shack restaurant data, such as browsing menus or searching for items, and require access to nutritional information, featured items, and ordering details through natural language. It solves problems related to finding specific menu items, locating restaurants, and getting detailed information about Shake Shack offerings. The tool accepts natural language inputs and provides relevant data outputs, making it ideal for users seeking convenient and informative interactions with Shake Shack data.

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

## Description

This MCP server provides tools for interacting with Shake Shack restaurant data, including browsing menus, searching for items, and finding locations. It also enables users to access nutritional information, featured items, and ordering details through natural language.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w8a1cq38bt)
- **Repository:** <https://github.com/markswendsen-code/mcp-shakeshack>

## 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-shakeshack"
    }
  }
}
```

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