A
licenseA
qualityD
maintenanceMCP server for Wendy's that enables AI agents to search the menu, view nutrition info, find nearby locations, and place mobile orders.
7
11 npm
MIT
@striderlabs/mcp-shakeshack
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TDQS
A3.5/5.0
Scored across 7 tools
Disambiguation5/5
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.
Naming Consistency5/5
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.
Tool Count5/5
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.
Completeness4/5
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.
Maintenance
ActivityInactive
ResponsivenessNo issues