A
licenseA
qualityD
maintenanceAn MCP server that transforms AI assistants into personal chefs by providing recipe recommendations and meal planning features based on the HowToCook repository.
5
6,244 npm
800
ISC
How-To-Cook
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., "@How-To-Cook recommend a week of meals for 2 people, no shellfish allergies"
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.
菜谱推荐服务 How To Cook
基于MCP协议的AI菜谱推荐服务器，提供菜谱查询、分类筛选、智能膳食规划和每日菜单推荐功能。 An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.## 工具列表 Tool List
本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。
工具 Tool | 描述 Description |
mcp_howtocook_getAllRecipes | 获取所有菜谱 |
mcp_howtocook_getRecipesByCategory | 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 |
mcp_howtocook_recommendMeals | 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 |
mcp_howtocook_whatToEat | 不知道吃什么？根据人数直接推荐适合的菜品组合 |
mcp_howtocook_getRecipeById | 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 |
检查服务 ## Inspector
工具在线测试： https://mcp.xiaobenyang.com/inspector/1777316659566595
Online Tool test https://mcp.xiaobenyang.com/inspector/1777316659566595
Related MCP server: Meal Planner AI MCP
服务配置 MCP Server Config
如何获取 XBY-APIKEY ？ How to get XBY-APIKEY ?
访问小笨羊科技网站 https://xiaobenyang.com，注册用户即可获得APIKEY Visit XiaoBenYang website https://xiaobenyang.com, register and get the APIKEY.
SSE
{
"mcpServers": {
"菜谱推荐服务": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "sse",
"url": "https://mcp.xiaobenyang.com/1777316659566595/sse"
}
}
}STREAMABLE HTTP
{
"mcpServers": {
"菜谱推荐服务": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "streamable_http",
"url": "https://mcp.xiaobenyang.com/1777316659566595/mcp"
}
}
}STDIO
{
"mcpServers": {
"菜谱推荐服务": {
"command": "npx",
"args": [
"-y",
"xiaobenyang-mcp"
],
"env": {
"XBY_APIKEY": "<YOUR_XBY_APIKEY>",
"mcpId": "1777316659566595",
},
"transport": "stdio"
}
}
}
Available Tools
5 toolsmcp_howtocook_getAllRecipesmcp_howtocook_getAllRecipesD
获取所有菜谱
Inputs: no_param.
mcp_howtocook_getRecipeByIdmcp_howtocook_getRecipeByIdC
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
Inputs: query (required).
mcp_howtocook_getRecipesByCategorymcp_howtocook_getRecipesByCategoryC
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
Inputs: category (required).
mcp_howtocook_recommendMealsmcp_howtocook_recommendMealsB
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
Inputs: peopleCount (required), allergies, avoidItems.
mcp_howtocook_whatToEatmcp_howtocook_whatToEatC
不知道吃什么？根据人数直接推荐适合的菜品组合
Inputs: peopleCount (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
B3.1/5.0
Scored across 5 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: getAllRecipes retrieves all recipes, getRecipeById fetches a specific recipe by ID/name, getRecipesByCategory filters by category, recommendMeals creates personalized meal plans, and whatToEeat offers quick dish recommendations. There is no overlap or ambiguity in their functions.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with the prefix 'mcp_howtocook_' and use camelCase (e.g., getAllRecipes, getRecipeById). The naming is uniform and predictable across all tools.
Tool Count5/5
With 5 tools, the server is well-scoped for a cooking/recipe domain. Each tool serves a distinct and essential function, from basic retrieval to advanced planning, making the count appropriate and efficient.
Completeness4/5
The toolset covers core operations like retrieval, filtering, and recommendation, but lacks CRUD capabilities for creating, updating, or deleting recipes. This is a minor gap, as agents can still perform most common tasks, but full lifecycle management is not supported.
Maintenance
ActivityInactive
ResponsivenessNo recent community issues
Related MCP Connectors
Recipe search, ingredient matching, nutrition filters and a private cookbook for any AI agent.
AI-powered recipe platform: 18 MCP tools for meal planning, grocery lists & Instacart.
Your Recipes, Beautifully Kept. weReci MCP server lets Claude and other MCP clients work with your personal weReci cookbook, the recipes you've imported from the web, social video and scanned family books. Interactive UI in the chat. weReci supports MCP Apps, so in clients that support it, tools return live views instead of plain text: recipe cards, shopping lists and your recipe graph. Clients without MCP Apps support get the same results as text. Find and read recipes: search your collection in plain language, open any recipe in full, or get an overview of what's in your cookbook. Cook with them: scale a recipe to any serving count, with cooking adjustments as well as amounts. Get substitution suggestions with ratios and caveats. Explore connections: browse your recipe graph (shared ingredients, techniques and cuisines), trace the connection between two recipes, and look up where a dish sits on the cuisine map. Themed collections: list the themed groups weReci curates from your cookbook, or ask it to reshuffle them. Shop: build a shopping list from one or more recipes, add or update items, and read the list back. Share: email a recipe to someone. Longer jobs like conceit reshuffles run in the background, with tools to check their progress. Everything is scoped to your own cookbook, or to a shared one you've joined.
Unlock the power of food transparency with our Open Food Facts MCP server. Easily look up any food
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