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by worryzyy • Scheduling & Calendar
A local MCP server exposing a recipe dataset and meal-planning tools so AI assistants can query recipes and generate personalized menus.
Access a searchable recipe catalog and fetch full recipe details (ingredients, steps) to answer user cooking questions.
Generate personalized weekly meal plans accounting for allergies, disliked ingredients, and household size.
Recommend daily menus or quick dinner suggestions based on the number of diners and dietary constraints.
This MCP server wraps the HowToCook recipe dataset to provide endpoints for listing all recipes, filtering by category, fetching full recipe details, recommending weekly meal plans considering allergies and dislikes, and suggesting daily menus by headcount. It is designed to be used with MCP-capable clients (e.g., Claude Desktop, Cursor) and can be packaged as a DXT for easy installation. Includes local development instructions, npm packaging, and an example live demo site for quick testing.
获取所有菜谱
根据分类查询菜谱,可选分类有: 水产, 早餐, 调料, 甜品, 饮品, 荤菜, 半成品加工, 汤, 主食, 素菜
根据用户的忌口、过敏原、人数智能推荐菜谱,创建一周的膳食计划以及大致的购物清单
不知道吃什么?根据人数直接推荐适合的菜品组合
根据菜谱名称或ID查询指定菜谱的完整详情,包括食材、步骤等
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