io.github.jkakar/cookwith-mcp

Official registry AI and agents

AI-powered recipe generation and transformation tools by Cookwith

What can you do with io.github.jkakar/cookwith-mcp?

  • 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

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Cookwith MCP Server
  2. Features
  3. Installation
  4. Available Tools
  5. Usage Examples
  6. Development
  7. API Endpoint
  8. License
  9. Support
  10. About Cookwith

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.

Frequently asked questions

What is io.github.jkakar/cookwith-mcp?

AI-powered recipe generation and transformation tools by Cookwith

How do I install io.github.jkakar/cookwith-mcp?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is io.github.jkakar/cookwith-mcp open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.jkakar/cookwith-mcp?

It is published by blaideinc. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.