A
licenseA
qualityD
maintenanceMCP server for Starbucks — let AI agents search the menu, customize drinks, find stores, place mobile pickup orders, and manage Starbucks Rewards.
16
9 npm
1
MIT
@striderlabs/mcp-chipotle
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TDQS
A3.7/5.0
Scored across 18 tools
Disambiguation5/5
Each tool targets a distinct action: authentication, location selection, order building steps, bag management, checkout, reordering, history, and rewards. No two tools have overlapping purposes.
Naming Consistency5/5
All tools follow the consistent 'chipotle_verb_noun' pattern (e.g., chipotle_search_locations, chipotle_add_to_bag). No mixing of naming conventions.
Tool Count4/5
18 tools cover the full ordering workflow comprehensively. While slightly above the typical 3-15 range, the count is justified by the domain complexity including authentication, location, customization, and order management.
Completeness4/5
The tool set covers the complete ordering lifecycle from login to checkout, plus reordering, history, rewards, and tracking. Minor gaps like removing items from bag are absent but unlikely to cause agent failures.
Maintenance
ActivityInactive
ResponsivenessNo issues