Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@@striderlabs/mcp-shakeshack Find Shake Shack locations in NYC and show me the current seasonal items"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP (Model Context Protocol) connector for Shake Shack restaurant. Provides tools for browsing the menu, searching items, finding locations, and getting ordering information.
npm install @striderlabs/mcp-shakeshackRelated MCP server: OrderFood MCP
Add to your MCP client configuration:
{
"mcpServers": {
"shakeshack": {
"command": "npx",
"args": ["-y", "@striderlabs/mcp-shakeshack"]
}
}
}get_menuGet the full Shake Shack menu or filter by category.
Parameters:
category (optional): Filter by menu category (Burgers, Chicken, Hot Dogs, Crinkle Cut Fries, Frozen Custard, Shakes & Floats, Beer & Wine, Beverages)
search_menuSearch menu items by keyword.
Parameters:
query (required): Search term (e.g. "bacon", "vegetarian", "chicken")
find_locationsFind Shake Shack locations by city, neighborhood, or keyword.
Parameters:
query (optional): Location search query
limit (optional): Max results to return (default: 5)
get_location_detailsGet detailed info for a specific location by ID.
Parameters:
location_id (required): Location identifier (e.g. "madison-square-park")
get_nutrition_infoGet nutritional information and allergens for a menu item.
Parameters:
item_name (required): Menu item name (e.g. "ShackBurger", "Fries")
get_featured_itemsGet current featured and seasonal menu items.
get_ordering_infoGet information about ordering options (app, kiosk, delivery, catering, loyalty).
# Install dependencies
npm install
# Build
npm run build
# Run directly
node dist/index.jsMIT
Find Shake Shack restaurant locations. Can search by city, state, or keyword.
Inputs: query, limit.
Get current featured, seasonal, or limited-time menu items at Shake Shack.
Inputs: no named parameters.
Get detailed information about a specific Shake Shack location by ID.
Inputs: location_id (required).
Get nutritional information and allergen details for Shake Shack menu items.
Inputs: item_name (required).
Get information about how to order at Shake Shack (app, kiosk, online, etc.).
Inputs: no named parameters.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 7 tools
Each tool has a clearly distinct purpose with no overlap: find_locations (geographic search), get_featured_items (special menu items), get_location_details (specific location info), get_menu (full menu), get_nutrition_info (nutritional data), get_ordering_info (ordering methods), and search_menu (menu item search). The descriptions reinforce these distinct functions, making tool selection unambiguous.
All tools follow a consistent verb_noun pattern using snake_case: find_locations, get_featured_items, get_location_details, get_menu, get_nutrition_info, get_ordering_info, and search_menu. The verbs 'find', 'get', and 'search' are appropriately used for their respective actions, creating a predictable and readable naming convention throughout.
With 7 tools, the server is well-scoped for its restaurant information domain. Each tool serves a clear purpose (location discovery, menu access, nutrition details, ordering info), and none feel redundant or unnecessary. This count aligns well with typical MCP server ranges (3-15 tools) for focused functionality.
The toolset provides comprehensive coverage for accessing Shake Shack information: locations (find/details), menu (full/featured/search), nutrition, and ordering methods. A minor gap exists in the lack of tools for actual ordering or transaction processing, but given the server's apparent informational focus, this is reasonable. The surface supports common agent workflows without dead ends.
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