Grocery Logger MCP Server
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Related Servers
- AlicenseCqualityDmaintenanceAutomated grocery shopping assistant with intelligent unit pricing and automatic coupon clipping, enabling AI to search products, manage carts, and plan grocery runs via Claude Desktop or CLI.181-
- FlicenseNot gradedqualityDmaintenanceEnables natural language expense tracking and management via Claude Desktop, supporting adding, listing, summarizing, updating, and deleting expenses with flexible date parsing and category filtering.-
- AlicenseNot gradedqualityCmaintenanceEnables Claude to do grocery shopping through a logged-in drive session, including product search with labels, Nutri-Score and price per kilo, weekly promotions, usual products, purchase habit analysis, Open Food Facts quality checks, and cart quantity management.MIT
- FlicenseNot gradedqualityCmaintenanceEnables users to manage personal expenses, analyze spending patterns, track budgets, generate reports, and export data through natural language conversations with Claude.-
- AlicenseNot gradedqualityDmaintenanceEnables users to manage personal expenses through natural conversation with Claude, including adding, updating, deleting expenses, and viewing summaries by category or date range.3MIT
- AlicenseAqualityBmaintenanceEnables Claude to search live grocery prices and stock, check weekly deals, price shopping lists, and plan meals from a selected Save-On-Foods location.5MIT
TDQS
Scored across 5 tools
Each tool targets a distinct action+resource: single-item price lookup, category listing, aggregate spending analysis, bulk insertion, and category enumeration. The two read tools that surface prices (query_item_price vs list_items_by_category) differ clearly in scope (one item's history vs all items in a category).
All names follow a consistent snake_case verb_noun pattern (query_item_price, list_items_by_category, query_spending, add_grocery_items, list_categories). The query_/list_/add_ verb prefixes are used predictably.
Five tools is well-scoped for a focused grocery logging server; each tool covers a distinct, non-redundant operation. No bloat or trivial padding.
The surface covers create and several read operations but lacks any update or delete tool, so agents cannot correct or remove mislogged purchases. Core workflows (log + query price/spending) are supported, but the lifecycle is incomplete.