Integration
Connect Langfuse to Spoonacular Recipe
When New Trace fires in Langfuse, 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 Langfuse 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 Langfuse can start in Spoonacular Recipe
When New Trace in Langfuse
then Find menu items in Spoonacular Recipe
When New Trace in Langfuse
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 Langfuse and Spoonacular Recipe
Triggers and actions 1 trigger · 25 actions
Trigger
New TracePolling trigger: fires for newly created traces (dedup by trace id / timestamp).
Action
Add CommentAdd a comment to a trace/observation/session/prompt object.
Action
Add DatasetCreate a new dataset.
Action
Add Dataset ItemCreate an item (input/expected_output/metadata) in a dataset.
Action
Add PromptCreate a new prompt version (text or chat).
Action
Add ScoreCreate a score attached to a trace/observation/session (numeric, categorical, or boolean).
Action
Delete TraceDelete a trace by id.
Action
Get ProjectReads the Langfuse project that the connection's project-scoped API key belongs to.
Action
Get PromptGet a prompt by name (and optional version/label).
Action
Get TraceGet a single trace by id, including nested observations/scores.
Action
List Dataset ItemsList items in a dataset.
Action
List DatasetsList all datasets in the project.
Action
List PromptsList all prompts in the project.
Action
List ScoresList scores with optional filters.
Action
List TracesList traces with optional filters (user, session, tags, timerange).
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
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Questions
Langfuse and Spoonacular Recipe, answered
What can start an automation from Langfuse?
Any of Langfuse's 1 trigger in the catalog, including New Trace. 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 Langfuse?
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 Langfuse?
Spoonacular Recipe has no triggers in the catalog today, so automations start in Langfuse. 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 Langfuse 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 Langfuse 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.