io.github.jkakar/cookwith-mcp

Registre officiel IA et agents

AI-powered recipe generation and transformation tools by Cookwith

Que pouvez-vous faire avec 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

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  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.

Questions fréquentes

Qu'est-ce que io.github.jkakar/cookwith-mcp ?

AI-powered recipe generation and transformation tools by Cookwith

Comment installer io.github.jkakar/cookwith-mcp ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

io.github.jkakar/cookwith-mcp est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.jkakar/cookwith-mcp ?

Il est publié par blaideinc. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.