Integration
Connect TrainAR to Landbot
When Task Created fires in TrainAR, your agent runs Send text message in Landbot. 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 TrainAR and Landbot 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 TrainAR can start in Landbot
When Task Created in TrainAR
then Send text message in Landbot
When Task Status Changed in TrainAR
then Update customer field in Landbot
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 TrainAR and Landbot
Triggers and actions 2 triggers · 19 actions
Trigger
Task CreatedTriggers when a new operational task is created in TrainAR.
Trigger
Task Status ChangedTriggers when the status of an operational task changes in TrainAR.
Action
Create TaskCreates a new operational task in TrainAR.
Action
Find TaskReturns up to 100 tasks (newest first) that match the specified status, source, assignee and created-date range.
Action
Find UserFinds users in your TrainAR account by email address and/or name, optionally narrowed by role and status.
Action
Update Task StatusUpdates the status (and optionally other fields) of an existing task in TrainAR.
Action
Archive customerArchives a Landbot customer so their conversation moves out of the active inbox.
Action
Assign customer to agentAssigns a Landbot customer conversation to a specific agent.
Action
Assign customer to botAssigns a Landbot customer to a bot, optionally starting the bot right away or from a specific node.
Action
Delete customerDeletes a Landbot customer.
Action
Find customers by name, email or phoneFinds customers whose name, email or phone starts with the text you give. Returns up to 100 matching customers.
Action
Get channelReturns a Landbot channel's details, including its name, type, active status and appearance settings.
Action
Get customerReturns a Landbot customer's profile, including name, channel, assigned agent, archive status and custom field values.
Action
Get customer fieldReturns the name, type and current value of one custom field stored on a Landbot customer.
Action
List channelsReturns the channels in your Landbot workspace, optionally filtered by type and active status.
Action
List customer messagesReturns the full conversation transcript for a Landbot customer — every message exchanged with them.
Action
List customersReturns the customers in your Landbot workspace, optionally filtered by channel, assigned agent, archive or WhatsApp opt-in status, or a name/email/phone prefix.
Action
List WhatsApp templatesReturns the WhatsApp message templates available to send to customers, optionally limited to one channel.
Action
Send text messageSends a text message to a Landbot customer on their channel.
Action
Send WhatsApp templateSends an approved WhatsApp template message to a Landbot customer, filling in its placeholders. Use it to reach a customer outside WhatsApp's 24-hour messaging window.
Action
Update customer fieldChanges the value of an existing custom field on a Landbot customer. The field must already exist on the customer.
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
TrainAR and Landbot, answered
What can start an automation from TrainAR?
Any of TrainAR's 2 triggers in the catalog, including Task Created and Task Status Changed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Landbot when something happens in TrainAR?
Any of Landbot's 15 actions, including Send text message, Send WhatsApp template, Update customer field and Assign customer to agent. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Landbot to TrainAR?
Landbot has no triggers in the catalog today, so automations start in TrainAR. If you need the other direction, ask: your agent reads Landbot's API documentation and adds it.
Do I have to build a connector for TrainAR or Landbot?
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 TrainAR and Landbot 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.