Grocery Logger MCP Server
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., "@Grocery Logger MCP Server Log these groceries: 2 lbs bananas $2.99, 1 gallon milk $4.50 from Costco"
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.
Grocery Logger MCP Server
A Model Context Protocol (MCP) server for logging and analyzing grocery purchases. Works with Claude Desktop to track prices, spending patterns, and purchase history.
Features
Bulk add grocery items with timestamp, vendor, item name, category, price, quantity, and unit
Query item prices with average price and purchase history
List items by category with price statistics
Analyze spending by vendor, category, or date range
List categories to maintain consistency when logging
Related MCP server: Raley
Installation
Requires Python 3.10+ and uv.
# Clone the repo
git clone <your-repo-url>
cd grocery_mcp
# Install dependencies
uv syncClaude Desktop Configuration
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"grocery-logger": {
"command": "/usr/local/bin/uv",
"args": [
"run",
"--directory", "/path/to/grocery_mcp",
"grocery-mcp"
]
}
}
}Then restart Claude Desktop.
Available Tools
Tool | Description |
| Bulk add grocery purchases |
| Get price history and average for an item |
| List all items in a category with stats |
| Analyze spending by vendor, category, or date |
| List existing categories for consistency |
Example Usage
Once configured, ask Claude:
"Log these groceries: 2 lbs bananas $2.99, 1 gallon milk $4.50 from Costco"
"What was the price of green onions?"
"How much did I spend at Trader Joes this month?"
"Show me all produce items I've bought"
"What's my average spending by category?"
Data Storage
Grocery data is stored in data/grocery.db (SQLite). This file is gitignored to keep your personal data private.
Available Tools
5 toolsadd_grocery_itemsA
Bulk add grocery items to the database.
Use this tool to log one or more grocery purchases. Each item requires:
timestamp: When purchased (ISO format, e.g., "2025-01-10T14:30:00")
vendor: Store name (e.g., "Costco", "Whole Foods")
item_name: Product name WITHOUT quantity/weight (e.g., "Organic Bananas", "Frozen Cooked Mussel")
category: One of: produce, dairy, eggs, meat, seafood, bakery, deli, frozen, pantry, beverages, snacks, condiments, spices, household, personal_care, baby, pet, alcohol, other
price: Price paid (e.g., 3.99)
quantity: The numeric amount (e.g., 2.0, 340, 1.5)
unit: Unit of the quantity (e.g., "each", "lb", "oz", "g", "kg", "ml", "L", "bunch", "bag")
IMPORTANT: Parse quantity and unit from item descriptions. Examples:
"Frozen Cooked Mussel 340g" -> item_name: "Frozen Cooked Mussel", quantity: 340, unit: "g"
"2 lbs Ground Beef" -> item_name: "Ground Beef", quantity: 2, unit: "lb"
"Milk 1 gallon" -> item_name: "Milk", quantity: 1, unit: "gallon"
"3 Avocados" -> item_name: "Avocado", quantity: 3, unit: "each"
Inputs: items (required).
list_categoriesA
List all valid grocery categories.
Returns the fixed set of valid categories and shows which ones have items logged. Use these exact category names when adding items.
Inputs: no named parameters.
list_items_by_categoryA
List all items in a category with their prices.
Get distinct items from a category (partial match supported). Optionally includes price statistics (min, max, average) per item.
Args: category: Category to search (e.g., "produce", "dairy") include_price_stats: Include min/max/avg prices (default: True)
Inputs: category (required), include_price_stats.
query_item_priceA
Get average price and price history for a grocery item.
Search for an item by name (partial match supported) and optionally filter by vendor. Returns average price and recent purchase history.
Args: item_name: Name to search for (e.g., "banana" matches "Organic Bananas") vendor: Optional vendor filter (e.g., "Costco") limit: Maximum history entries to return (default: 10)
Inputs: item_name (required), limit, vendor.
query_spendingA
Query total spending with optional filters.
Use this tool to analyze spending patterns. Supports filtering by:
vendor: Store name (e.g., "Trader Joes", "Costco")
category: Category name (e.g., "produce", "dairy")
start_date: Start of date range (ISO format, e.g., "2025-01-01")
end_date: End of date range (ISO format, e.g., "2025-01-31")
Returns total spending, item count, and breakdown by category or vendor.
Inputs: vendor, category, end_date, start_date.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
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.
Maintenance
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