Integration
Connect CloudConvert to Spoonacular Recipe
When Job Failed fires in CloudConvert, 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 CloudConvert 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 CloudConvert can start in Spoonacular Recipe
When Job Failed in CloudConvert
then Find menu items 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 CloudConvert and Spoonacular Recipe
Triggers and actions 2 triggers · 15 actions
- Job Failed
Triggers when a job failed.
- Job Finished
Triggers when a job finished.
- Capture a Website
Creates job to capture a website as PDF or create a website screenshot as JPG or PNG.
- Convert a File
Creates job to convert a file.
- Get file metadata
Extract metadata (e.g. page count, dimensions, duration) from a file (metadata operation task).
- Get job
Look up the status and results of a conversion job by ID.
- Extract recipe from website
Extracts recipe data such as title, ingredients and instructions from a recipe web page or supported video link.
- Find grocery products
Searches packaged grocery products, such as frozen pizza or Greek yogurt, by name and optional nutrition limits per serving.
- Find ingredients
Searches spoonacular's whole-food ingredients (fruits, vegetables, nuts, grains, meat, dairy and more) by name, with optional macronutrient and intolerance filters.
- Find menu items
Searches fast food and chain restaurant menu items by name, optionally filtered by calories and macronutrients, and returns the matching menu items.
- Find recipes
Searches Spoonacular's recipe database by keyword with optional cuisine, diet, ingredient, time and nutrient filters, and returns the matching recipes.
- Find recipes by ingredients
Finds recipes that use as many of the given ingredients as possible while requiring as few additional ingredients as possible.
- Generate meal plan
Generates 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.
- Get ingredient
Returns all available information about an ingredient, such as its image, supermarket aisle, estimated cost and nutrition, optionally for a given amount and unit.
- Get random recipes
Returns one or more random popular recipes, optionally filtered by tags such as diet, meal type, or cuisine.
- Get recipe
Returns full information about a recipe by its ID, including ingredients, instructions, diet and allergen details, and optionally nutrition, wine pairing and taste data.
- Get recipe nutrition
Returns 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
CloudConvert and Spoonacular Recipe, answered
What can start an automation from CloudConvert?
Any of CloudConvert's 2 triggers in the catalog, including Job Failed and Job Finished. 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 CloudConvert?
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 CloudConvert?
Spoonacular Recipe has no triggers in the catalog today, so automations start in CloudConvert. 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 CloudConvert 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 CloudConvert 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.