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cookwith-mcp

@jkakar/cookwith-mcp
0 Stars 133 次浏览 jkakar 更新于 2026-08-23

AI-powered recipe generation and transformation tools by Cookwith

该服务暂未提供标准配置,请参考 README 手动接入

可用工具 (5 个)

该服务在 MCP 协议中暴露的工具,AI 可按需调用

tavily_search 14 个参数 需填 1 项

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数:query

tavily_extract 6 个参数 需填 1 项

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数:urls

tavily_crawl 11 个参数 需填 1 项

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数:url

tavily_map 8 个参数 需填 1 项

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数:url

tavily_research 2 个参数 需填 1 项

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数:input

服务介绍

Cookwith MCP Server

An MCP (Model Context Protocol) server that provides AI-powered recipe generation and transformation tools using Cookwith's advanced culinary AI.

# Features

  • Recipe Generation: Create custom recipes from natural language descriptions
  • Recipe Transformation: Modify existing recipes based on dietary needs, serving sizes, or other requirements
  • Dietary Support: Handle allergies, dietary restrictions, and nutritional goals
  • Smart Adaptations: Adjust for calories, protein targets, and serving counts

# Installation

# # Via MCP Registry

npx @modelcontextprotocol/create-server install @cookwith/mcp-server

# # Via npm

npm install -g @cookwith/mcp-server

# # For Claude Desktop

Add to your Claude Desktop configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "cookwith": {
      "command": "npx",
      "args": ["@cookwith/mcp-server"]
    }
  }
}

# Available Tools

# # generate_recipe

Generate a new recipe based on natural language instructions.

Parameters:

  • prompt (string, required): Natural language description of the desired recipe
  • dietaryRestrictions (array): Dietary restrictions (e.g., vegetarian, vegan, gluten-free)
  • allergies (array): Ingredients to avoid due to allergies
  • dislikes (array): Foods the user doesn't like
  • calories (string): Target calories per serving
  • protein (string): Target protein in grams per serving
  • servings (number): Number of servings (1-20, default: 4)

Example:

{
  "prompt": "A healthy pasta dish with lots of vegetables",
  "dietaryRestrictions": ["vegetarian"],
  "calories": "500",
  "servings": 2
}

# # transform_recipe

Transform or modify an existing recipe based on instructions.

Parameters:

  • recipe (object, required): The recipe to transform
    • title (string): Recipe title
    • description (string): Recipe description
    • ingredients (array): List of ingredients
    • instructions (array): Cooking instructions
    • servings (number): Number of servings
    • Additional optional fields for nutrition, timing, etc.
  • instructions (string, required): How to transform the recipe
  • calories (string): New target calories per serving
  • protein (string): New target protein per serving
  • servings (number): New number of servings

Example:

{
  "recipe": {
    "title": "Classic Spaghetti Carbonara",
    "description": "Traditional Italian pasta dish",
    "ingredients": ["400g spaghetti", "200g guanciale", "4 eggs", "100g pecorino"],
    "instructions": ["Cook pasta", "Fry guanciale", "Mix eggs and cheese", "Combine"],
    "servings": 4
  },
  "instructions": "Make it vegetarian and reduce calories",
  "calories": "400"
}

# Usage Examples

# # With Claude

Once configured, you can use natural language to interact with the tools:

"Generate a healthy dinner recipe for 2 people with chicken and vegetables, around 500 calories per serving"

"Transform this pasta recipe to be gluten-free and dairy-free"

# # Programmatic Usage

import { Client } from '@modelcontextprotocol/sdk';

const client = new Client({
  name: 'my-app',
  version: '1.0.0'
});

await client.connect('npx', ['@cookwith/mcp-server']);

// Generate a recipe
const result = await client.callTool('generate_recipe', {
  prompt: 'Quick and healthy breakfast',
  calories: '350',
  servings: 1
});

# Development

# # Building from Source

git clone https://github.com/blaideinc/cookwith-mcp
cd cookwith-mcp
npm install
npm run build

# # Running Locally

npm start

# # Testing

npm test

# API Endpoint

The MCP server can also be accessed via HTTP at:

  • Production: https://cookwith.co/api/mcp
  • Development: http://localhost:3000/api/mcp

# License

MIT

# Support

# About Cookwith

Cookwith is an AI-powered cooking platform that generates personalized recipes based on your preferences, dietary restrictions, and taste profile. Learn more at cookwith.co.

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