recipe-shoplist-mcp
Turns a natural language meal request into a structured recipe and a categorized shopping list with optional search links for grocery stores.
README
recipe-shoplist-mcp
Turns a meal idea into a categorized shopping list with one-click search links — no accounts, no API keys.
An MCP (Model Context Protocol) server that takes a natural language meal request, generates a structured recipe, consolidates ingredients into a categorized shopping list, and optionally generates pre-filled search URLs for common grocery stores.
Features
- Recipe Generation — Describe what you want ("something quick with chicken and rice", "vegan pasta for 4") and get a structured recipe with ingredients, steps, and timing
- Shopping List Builder — Consolidates duplicate ingredients across multiple recipes (two recipes need garlic? → combined quantity)
- Grocery Category Grouping — Items sorted by store section: produce, dairy, meat, pantry, spices, etc.
- Export Formats — Plain text, Markdown, or clickable search links for Amazon Fresh, Walmart, or generic Google Shopping
- Save to File — Export your shopping list as a
.mdor.txtfile to open, print, or share - Vague Ingredient Flagging — Flags entries like "some spices" so you know to clarify
- Multi-Recipe Merging — Plan a week of meals and get one combined shopping list
Installation
git clone https://github.com/Sara-Eltayeb/recipe-shoplist-mcp.git
cd recipe-shoplist-mcp
npm install
npm run build
Register in Your MCP Client
Add to your MCP client configuration (e.g. Claude Desktop, opencode, etc.):
{
"mcpServers": {
"recipe-shoplist": {
"command": "node",
"args": ["/absolute/path/to/recipe-shoplist-mcp/dist/index.js"]
}
}
}
Or if installed globally via npm:
{
"mcpServers": {
"recipe-shoplist": {
"command": "recipe-shoplist-mcp"
}
}
}
Tools
generate_recipe
Generate a structured recipe from a natural language request.
| Parameter | Type | Description |
|---|---|---|
request |
string | Natural language meal request |
servings |
number? | Number of servings (default: 4) |
dietary_restrictions |
string[]? | e.g. ["vegan", "gluten-free"] |
build_shopping_list
Consolidate ingredients from one or more recipes into a categorized shopping list.
| Parameter | Type | Description |
|---|---|---|
ingredients |
Ingredient[] | Array of {name, quantity, unit} |
recipe_names |
string[]? | Names of source recipes |
export_list
Export the latest shopping list in your preferred format.
| Parameter | Type | Description |
|---|---|---|
format |
"text" | "markdown" | "url_links" |
Output format |
store |
"amazon_fresh" | "walmart" | "generic"? |
Store for URL links |
save_list_to_file
Save the shopping list to a local .md or .txt file.
| Parameter | Type | Description |
|---|---|---|
filename |
string? | Filename without extension |
format |
"text" | "markdown"? |
File format (default: markdown) |
Example Prompts
- "Plan 3 dinners for this week and give me one combined shopping list"
- "Make a shopping list for a vegan pasta night and give me Walmart search links"
- "I want something quick with chicken and rice, then save the list to a file"
- "Give me 2 meal ideas for the week and combine everything into one markdown shopping list"
Limitations
- No cart automation — Search links open a search or product page on the retailer's site. Adding items to a cart and checking out requires retailer partner API access, which is not available without approval.
- No external API keys — Recipe generation relies on the calling AI assistant's own creativity. This server structures and validates the output but does not call external recipe APIs.
- Vague ingredients — Terms like "some spices" or "seasoning to taste" are flagged for clarification rather than guessed at.
License
MIT
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