Integration
Connect Mollie to Spoonacular Recipe
When New Customer fires in Mollie, your agent runs Find menu items in Spoonacular Recipe. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Mollie and Spoonacular Recipe to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Mollie can start in Spoonacular Recipe
When New Customer in Mollie
then Find menu items in Spoonacular Recipe
When New Invoice in Mollie
then Extract recipe from website in Spoonacular Recipe
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Mollie and Spoonacular Recipe
Triggers and actions 6 triggers · 27 actions
Trigger
New CustomerTriggers when a new customer is created in your Mollie account.
Trigger
New InvoiceTriggers when Mollie issues a new invoice to your organization for its fees.
Trigger
New PaymentTriggers when a new payment is created in your Mollie account.
Trigger
New Payment ChargebackTriggers when a new chargeback is received on any of your Mollie payments.
Trigger
New RefundTriggers when a new refund is created on any payment in your Mollie account.
Trigger
New SettlementTriggers when a new settlement appears in your Mollie account.
Action
Add customerCreates a customer in Mollie, to which payments, mandates and subscriptions can later be linked.
Action
Add refundCreates a refund for a Mollie payment, returning the full or partial amount to the customer.
Action
Cancel paymentCancels an open Mollie payment and returns the canceled payment. Only payments that are still cancelable can be canceled.
Action
Create PaymentCreates a Mollie payment and returns it, including the checkout link to send your customer to.
Action
Create Payment LinkCreates a shareable Mollie payment link that customers can open to complete a payment.
Action
Delete customerDeletes a Mollie customer. All mandates and subscriptions for that customer are canceled as well.
Action
Delete subscriptionCancels a customer's subscription in Mollie and returns the canceled subscription. The customer's mandates are not affected.
Action
Find PaymentFinds payments whose description contains the text you enter, searching your most recent 250 Mollie payments.
Action
Get customerReturns a single Mollie customer by its ID, including name, email, locale and metadata.
Action
Get paymentReturns a single Mollie payment by its ID, including amount, status, method and links.
Action
List customersReturns the customers in your Mollie account, newest first by default.
Action
List paymentsReturns the payments created with your Mollie website profile, with their status, amount and details.
Action
List refundsReturns refunds across all payments in your Mollie account, up to 250 at a time.
Action
List subscriptionsReturns the subscriptions set up across all of your customers, up to 250 per run.
Action
Search CustomerSearches your Mollie customers by email address and/or name and returns the matching customers.
Action
Update customerUpdates an existing Mollie customer's name, email, language or metadata.
Action
Extract recipe from websiteExtracts recipe data such as title, ingredients and instructions from a recipe web page or supported video link.
Action
Find grocery productsSearches packaged grocery products, such as frozen pizza or Greek yogurt, by name and optional nutrition limits per serving.
Action
Find ingredientsSearches spoonacular's whole-food ingredients (fruits, vegetables, nuts, grains, meat, dairy and more) by name, with optional macronutrient and intolerance filters.
Action
Find menu itemsSearches fast food and chain restaurant menu items by name, optionally filtered by calories and macronutrients, and returns the matching menu items.
Action
Find recipesSearches Spoonacular's recipe database by keyword with optional cuisine, diet, ingredient, time and nutrient filters, and returns the matching recipes.
Action
Find recipes by ingredientsFinds recipes that use as many of the given ingredients as possible while requiring as few additional ingredients as possible.
Action
Generate meal planGenerates a meal plan of breakfast, lunch and dinner recipes for one day or a whole week, aiming at a daily calorie target and an optional diet.
Action
Get ingredientReturns all available information about an ingredient, such as its image, supermarket aisle, estimated cost and nutrition, optionally for a given amount and unit.
Action
Get random recipesReturns one or more random popular recipes, optionally filtered by tags such as diet, meal type, or cuisine.
Action
Get recipeReturns full information about a recipe by its ID, including ingredients, instructions, diet and allergen details, and optionally nutrition, wine pairing and taste data.
Action
Get recipe nutritionReturns the nutrition breakdown for a recipe: nutrients with daily-value percentages, glycemic properties, flavonoids, per-ingredient nutrients, caloric breakdown and weight per serving.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Mollie and Spoonacular Recipe, answered
What can start an automation from Mollie?
Any of Mollie's 6 triggers in the catalog, including New Customer, New Invoice, New Payment and New Payment Chargeback. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Spoonacular Recipe when something happens in Mollie?
Any of Spoonacular Recipe's 11 actions, including Extract recipe from website, Find grocery products, Find ingredients and Find menu items. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Spoonacular Recipe to Mollie?
Spoonacular Recipe has no triggers in the catalog today, so automations start in Mollie. If you need the other direction, ask: your agent reads Spoonacular Recipe's API documentation and adds it.
Do I have to build a connector for Mollie or Spoonacular Recipe?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Mollie and Spoonacular Recipe without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.