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Cookwith Mcp

blaideinc/cookwith-mcp
registry active
Summary

Connects Claude to Cookwith's culinary AI for recipe generation and transformation. Exposes two main tools: generate_recipe takes natural language prompts plus optional dietary restrictions, allergies, and nutritional targets to create new recipes, while transform_recipe modifies existing recipes based on instructions like "make it vegan" or "double the servings." Both handle calories, protein goals, and serving adjustments. Reach for this when you want Claude to generate custom recipes on the fly or adapt existing ones for dietary needs without leaving the conversation. Recipes come back structured with ingredients, instructions, and nutrition info. Built by the team behind cookwith.co's recipe platform.

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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

  • GitHub Issues: https://github.com/blaideinc/cookwith-mcp/issues
  • Website: https://cookwith.co

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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Registryactive
UpdatedSep 12, 2025
View on GitHub

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