Integration
Connect Langfuse to Zenoti
When New Trace fires in Langfuse, your agent runs Add Notes to an Opportunity in Zenoti. 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 Zenoti 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 Zenoti
When New Trace in Langfuse
then Add Notes to an Opportunity in Zenoti
When New Trace in Langfuse
then Add booking in Zenoti
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 Zenoti
Triggers and actions 1 trigger · 29 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
Add bookingCreates a service booking request for one or more guests at a center on a date, returning a booking id used to pick, reserve and confirm a slot.
Action
Add Employee Security RoleAssigns a security role to a Zenoti employee for a center, zone, or the organization.
Action
Add Notes to an OpportunityAdds a note to an existing opportunity in Zenoti.
Action
Create EmployeeCreates an employee profile in a Zenoti center, including personal details, job, security role and online catalog information.
Action
Create Employee BlockoutCreates a blockout time (such as a lunch break) on an employee's schedule at a center.
Action
Create GuestCreates a guest (client profile) in a Zenoti center and returns the new guest record with its id.
Action
Delete Employee BlockoutPermanently deletes a blockout time from an employee's schedule.
Action
List appointments of a guestReturns the appointment history of a guest, optionally filtered by date range or to upcoming/past appointments.
Action
List centersReturns all centers (business locations) of your Zenoti organization, with their address, time zone and currency details.
Action
List employeesReturns the employees who are active in a Zenoti center on a given date.
Action
List servicesReturns the services offered at a Zenoti center, with pricing (including campaign-discounted pricing when a campaign is given).
Action
Merge guestsMerges one or more duplicate guest records into a target guest in Zenoti.
Action
Search for a GuestSearches for guests by name, email, phone, zip code, tags, username or user code, in one center or across the organization.
Action
Search Guest by IDReturns the full profile of a Zenoti guest by their guest ID, including personal info, address, preferences, tags and referral details.
Action
Update Employee BlockoutUpdates an existing blockout time (such as a lunch break) on an employee's schedule, including its time, type, notes and recurrence.
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 Zenoti, 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 Zenoti when something happens in Langfuse?
Any of Zenoti's 15 actions, including Create Employee, Create Employee Blockout, Create Guest and Update Employee Blockout. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Zenoti to Langfuse?
Zenoti has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Zenoti's API documentation and adds it.
Do I have to build a connector for Langfuse or Zenoti?
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 Zenoti 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.