Spoonacular Extended MCP for AI. Plan meals or find recipes from anything you have.

You connect your AI client to Spoonacular Extended, and it turns into a seriously smart digital sous-chef. You'll be able to find recipes, check nutrition facts, or even pull data from random websites—all without having to click through a dozen tabs. It’s built for when you need accurate results, period.

Finding Recipes Based on What You Have:
You don't gotta waste food just 'cause it's sitting in the back of the fridge. If you tell your agent what ingredients you've got—say, chicken breasts, bell peppers, and rice—it runs find_recipes_by_ingredients, giving you recipes that maximize those specific items. You can also perform a broad search across all available data using search_ingredients or check out detailed information on any single item with get_ingredient_information.

If you're stuck on what to make, it provides alternative ingredients through get_ingredient_substitutes, so you don't have to toss the whole dinner. When you start typing an ingredient name, autocomplete_ingredient_search suggests full names, keeping your search tight.

Hitting Nutritional Targets:
If 'good enough' ain't good enough, the agent handles it. You can use find_recipes_by_nutrients to filter recipes based on strict guidelines—you might need something under 500 calories or with at least 30 grams of protein. If you know your goal is hitting a specific macro count, say 'I gotta get 12g more fiber,' the system runs compute_ingredient_amount, calculating exactly how much of an ingredient you'll need to hit that mark.

You can also search for meals using advanced filters like diet or cuisine via search_recipes.

Planning and Organizing Meals:
The agent helps you plan your whole week, not just tonight’s dinner. Use generate_meal_plan to create a multi-day eating schedule based on what you input. You can then save that plan by running add_to_meal_plan, or review an existing weekly structure with get_meal_plan_week. If you need groceries, it pulls your current shopping list using get_shopping_list.

When you're starving for ideas and don't wanna think, you can ask for random meals via get_random_recipes.

Data Extraction and Research:
It’s not just about recipes. You can give it a link to any cooking blog post using extract_recipe, and it pulls out the structured data—ingredients, steps, everything—so your agent can actually read it. If you find a recipe ID, get_recipe_information gives you every detail. It also helps you find similar meals by running get_similar_recipes, which matches ingredients or profiles to a meal you already like.

For shopping, the system handles both physical stores and restaurant menus. You can search for grocery items generally using search_grocery_products, or check products with their UPC barcode number via search_products_by_upc. If you're out eating, you can use search_menu_items to find specific dishes at a restaurant, and even get details on one item using get_menu_item_information.

You can also look up the facts for any grocery product with get_product_information.

Advanced Searching:
The agent keeps suggestions coming. As you start typing a recipe title, autocomplete_recipe_search offers immediate options. If you just need general info on an ingredient or product, you can use search_products_by_upc, search_menu_items, or the broader search_ingredients. You also get one shot at getting a full inventory of available recipes by using get_similar_recipes.