About recipe-mcp
recipe-mcp is an MCP server for generating and adapting recipes to dietary preferences and nutrition goals. It offers separate tools for creating recipes and modifying existing ones, with anonymous access that requires no API key but is rate-limited.
Key features
- 01Generate recipes from natural-language prompts
- 02Modify existing recipes with instructions
- 03Handle dietary restrictions and allergies
- 04Set calorie, protein, and serving targets
- 05Anonymous access without an API key
Use cases
- 01Draft recipes for dietary preferences
- 02Convert an existing recipe to vegan
- 03Adjust a dish to calorie or protein targets
MCP support
As an MCP server, recipe-mcp exposes tools for generating and transforming recipes to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMERecipe MCP Server
An MCP (Model Context Protocol) server that provides AI-powered recipe generation and transformation tools. Generate personalized recipes based on dietary preferences, transform existing recipes to meet nutritional goals, and more.
Features
- 🍳 Generate Recipes - Create custom recipes from natural language descriptions
- 🔄 Transform Recipes - Modify existing recipes (make vegan, adjust calories, etc.)
- 🥗 Dietary Support - Handle allergies, restrictions, and food preferences
- 📊 Nutrition Goals - Target specific calorie and protein requirements
- 🆓 Open Access - No API key required (rate limited)
Installation
For Claude Desktop
- Install the MCP server:
npm install -g @cookwith/recipe-mcp
- Add to your Claude Desktop configuration:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
{
"mcpServers": {
"recipe-mcp": {
"command": "npx",
"args": ["@cookwith/recipe-mcp"],
"env": {
"COOKWITH_API_URL": "https://cookwith.co"
}
}
}
}
- Restart Claude Desktop
For Development
# Clone the repository
git clone https://github.com/cookwith/recipe-mcp.git
cd recipe-mcp
# Install dependencies
npm install
# Run in development mode
npm run dev
Usage Examples
Generate a Recipe
// In Claude Desktop, you can say:
"Generate a healthy Mediterranean pasta dish with lots of vegetables"
// The tool will be called with:
{
"prompt": "A healthy Mediterranean pasta dish with lots of vegetables",
"dietaryRestrictions": ["vegetarian"],
"calories": "450",
"servings": 4
}
Transform a Recipe
// After generating or providing a recipe:
"Make this recipe vegan and reduce the calories by 200"
// The tool will be called with:
{
"recipe": { /* existing recipe object */ },
"instructions": "Make this vegan and reduce calories by 200",
"calories": "350"
}
Tools
generate_recipe
Generate a new recipe based on natural language instructions.
Parameters:
prompt(string, required) - Natural language descriptiondietaryRestrictions(string[], optional) - e.g., ["vegetarian", "gluten-free"]allergies(string[], optional) - Ingredients to avoiddislikes(string[], optional) - Foods to excludecalories(string, optional) - Target calories per servingprotein(string, optional) - Target protein in gramsservings(number, optional) - Number of servings (1-20, default: 4)
transform_recipe
Transform an existing recipe based on instructions.
Parameters:
recipe(object, required) - The recipe to transforminstructions(string, required) - How to modify the recipecalories(string, optional) - New target caloriesprotein(string, optional) - New target proteinservings(number, optional) - New number of servings
Rate Limits
The public API has the following rate limits:
- Anonymous Access: 20 requests per hour per IP address
- No authentication required
- Retry-After header provided when limit exceeded
Recipe Object Format
interface Recipe {
title: string;
description: string;
ingredients: string[]; // e.g., ["2 cups flour", "1 tsp salt"]
instructions: string[]; // Step-by-step instructions
servings: number;
prepTime?: number; // Minutes
cookTime?: number; // Minutes
totalTime?: number; // Minutes
cuisine?: string; // e.g., "Italian", "Mexican"
course?: string; // e.g., "main", "dessert"
difficulty?: string; // e.g., "easy", "medium", "hard"
calories?: number; // Per serving
protein?: number; // Grams per serving
carbs?: number; // Grams per serving
fat?: number; // Grams per serving
fiber?: number; // Grams per serving
sugar?: number; // Grams per serving
sodium?: number; // Milligrams per serving
}
Configuration
Environment Variables
COOKWITH_API_URL- API endpoint (default: https://cookwith.co)
Custom API Endpoint
For development or self-hosted instances:
export COOKWITH_API_URL=http://localhost:3000
npx @cookwith/recipe-mcp
Examples
Basic Recipe Generation
// Request
{
"prompt": "Quick and easy chicken stir-fry"
}
// Response
{
"title": "Quick Chicken Stir-Fry",
"description": "A delicious and speedy chicken stir-fry...",
"ingredients": [
"2 chicken breasts, sliced",
"2 cups mixed vegetables",
"3 tbsp soy sauce",
// ...
],
"instructions": [
"Heat oil in a large wok or skillet",
"Add chicken and cook until golden",
// ...
],
"servings": 4,
"prepTime": 10,
"cookTime": 15,
"calories": 320,
"protein": 28
}
Recipe Transformation
// Request
{
"recipe": {
"title": "Classic Beef Lasagna",
"ingredients": ["1 lb ground beef", "ricotta cheese", ...],
// ... full recipe
},
"instructions": "Make this vegetarian and lower in calories"
}
// Response
{
"title": "Vegetarian Light Lasagna",
"description": "A healthier vegetarian version...",
"ingredients": [
"2 cups chopped mushrooms",
"1 cup low-fat ricotta",
// ... transformed ingredients
],
// ... rest of transformed recipe
}
Troubleshooting
Rate Limit Errors
If you receive a 429 error, you've exceeded the rate limit. Wait for the time specified in the retryAfter field before making another request.
Connection Issues
Ensure your internet connection is stable and the API endpoint is accessible.
Invalid Parameters
Check that your parameters match the expected format and constraints (e.g., servings between 1-20).
Contributing
Contributions are welcome! Please see our Contributing Guide for details.
License
MIT License - see LICENSE file for details.
Support
- 🐛 Report Issues
- 💬 Discussions
- 📧 Email: [email protected]
Powered By
- Cookwith - AI-powered cooking platform
- OpenAI GPT-4 - Recipe generation
- Model Context Protocol - Tool integration
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.