Integration
Connect InflatableOffice and Langfuse
When New Customer fires in InflatableOffice, your agent runs Add Comment in Langfuse, or New Trace in Langfuse to Create Customer in InflatableOffice. 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 InflatableOffice and Langfuse 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 InflatableOffice and Langfuse can do together
From InflatableOffice to Langfuse
When New Customer in InflatableOffice
then Add Comment in Langfuse
When New Lead in InflatableOffice
then Add Dataset Item in Langfuse
From Langfuse to InflatableOffice
When New Trace in Langfuse
then Create Customer in InflatableOffice
When New Trace in Langfuse
then Create Lead in InflatableOffice
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 InflatableOffice and Langfuse
Triggers and actions 3 triggers · 32 actions
Trigger
New CustomerTriggers when a new customer is created in InflatableOffice.
Trigger
New LeadTriggers when a new lead is created in InflatableOffice.
Action
Create CustomerCreates a customer with contact details, address and tags. If a matching customer already exists, returns that customer's ID.
Action
Create Journal EntryCreates a journal (CRM note) entry on a lead or customer.
Action
Create LeadCreates a lead (event quote or booking) for a new or existing customer, with event date, location and rentals.
Action
Create TaskCreates a task linked to a customer, lead or organization.
Action
Delete CustomerDeletes a customer. A customer that has leads is marked inactive instead.
Action
Delete LeadDeletes a lead.
Action
Get CustomerReturns one customer's contact details, address and notes by customer ID.
Action
Get LeadReturns one lead (event booking) with its event details and totals by lead ID.
Action
Get RentalReturns one rental inventory item with its name, description, quantity and category.
Action
Get WorkerReturns one worker's contact details and pay rate.
Action
List CategoriesReturns the inventory categories in your account.
Action
List CustomersReturns a page of customers in your account.
Action
List LeadsReturns a page of leads, optionally matched by keyword, modified-date range or a saved lead filter.
Action
List RentalsReturns a page of active rental inventory items, optionally limited to one category.
Action
List WorkersReturns a page of approved workers in your account.
Action
Record PaymentRecords a payment taken outside InflatableOffice on a lead. It does not charge a card.
Action
Update CustomerUpdates an existing customer; fields left blank keep their current values.
Action
Update LeadUpdates an existing lead; fields left blank keep their current values.
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).
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
InflatableOffice and Langfuse, answered
What can start an automation from InflatableOffice?
Any of InflatableOffice's 2 triggers in the catalog, including New Customer and New Lead. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in InflatableOffice?
Any of Langfuse's 14 actions, including Add Comment, Add Dataset, Add Dataset Item and Add Prompt. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Langfuse to InflatableOffice?
Yes. When something happens in Langfuse, your agent can act in InflatableOffice too. This page covers both directions: Langfuse's triggers and InflatableOffice's actions are listed here as well.
Do I have to build a connector for InflatableOffice or Langfuse?
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 InflatableOffice and Langfuse 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.