About Spoonacular Mcp
Spoonacular MCP Server exposes Spoonacular Food API data to AI assistants for finding recipes, ingredients, and nutrition information. It supports filters such as available ingredients, diet, and cuisine, as well as nutrition analysis of ingredient lists.
Key features
- 01Search recipes with filters
- 02Retrieve recipe details and nutrition
- 03Search ingredient information
- 04Analyze ingredient-list nutrition
- 05Find recipes from available ingredients
- 06Get random recipe suggestions
Use cases
- 01Filter recipes by dietary preferences
- 02Plan meals from available ingredients
- 03Review recipe ingredients and instructions
- 04Analyze nutrition in an ingredient list
MCP support
The MCP server provides clients with recipe search, ingredient lookup, and nutrition analysis tools, using the Spoonacular Food API as its data source.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMESpoonacular MCP Server
A Model Context Protocol (MCP) server that provides access to the Spoonacular Food API. This server enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the MCP protocol.
Features
- Recipe Search: Search for recipes by ingredients, diet, cuisine, and other criteria
- Recipe Information: Get detailed recipe information including ingredients, instructions, and nutrition
- Ingredient Search: Find and explore ingredient information
- Nutrition Analysis: Analyze nutrition for ingredient lists
- Recipe by Ingredients: Find recipes based on available ingredients
- Random Recipes: Get random recipe suggestions with optional filtering
Quick Start
Installation
npm install -g spoonacular-mcp
Setup
-
Get a Spoonacular API key (free at https://spoonacular.com/food-api/console#Dashboard)
-
Set your API key as an environment variable:
# Windows (PowerShell) $env:SPOONACULAR_API_KEY="your_api_key_here" # macOS/Linux export SPOONACULAR_API_KEY="your_api_key_here"
Usage with MCP Clients
Add this configuration to your MCP client (Claude Desktop, etc.):
{
"servers": {
"spoonacular": {
"command": "spoonacular-mcp",
"env": {
"SPOONACULAR_API_KEY": "your_api_key_here"
}
}
}
}
Test the Installation
# Set your API key
export SPOONACULAR_API_KEY="your_key_here"
# Test the server
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | spoonacular-mcp
Available Tools
search_recipes
Search for recipes with various filters.
Parameters:
query(string): Search query for recipesnumber(number, 1-100): Number of results (default: 10)diet(string, optional): Diet type (vegetarian, vegan, gluten-free, etc.)intolerances(string, optional): Comma-separated intolerancesincludeIngredients(string, optional): Required ingredients (comma-separated)excludeIngredients(string, optional): Ingredients to exclude (comma-separated)type(string, optional): Meal type (main course, side dish, dessert, etc.)cuisine(string, optional): Cuisine type (italian, mexican, chinese, etc.)
get_recipe_information
Get detailed information about a specific recipe.
Parameters:
id(number): Recipe IDincludeNutrition(boolean): Include nutrition information (default: false)
search_ingredients
Search for ingredients by name.
Parameters:
query(string): Ingredient search querynumber(number, 1-100): Number of results (default: 10)metaInformation(boolean): Include meta information (default: false)
analyze_nutrition
Analyze nutrition for a list of ingredients.
Parameters:
ingredientList(string): List of ingredients, one per lineservings(number): Number of servings
find_recipes_by_ingredients
Find recipes based on available ingredients.
Parameters:
ingredients(string): Comma-separated list of available ingredientsnumber(number, 1-100): Number of recipes (default: 5)ranking(number, 1-2): Ranking strategy (1=maximize used, 2=minimize missing)
get_random_recipes
Get random recipes with optional filtering.
Parameters:
number(number, 1-100): Number of random recipes (default: 1)tags(string, optional): Comma-separated tags for filtering
Development
To run in development mode:
npm run dev
To build:
npm run build
API Rate Limits
The free Spoonacular API plan includes:
- 150 requests per day
- Rate limiting applies
Consider upgrading to a paid plan for production use.
License
ISC
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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.