Integration
Connect Skyvern and Trengo
When New or Updated Skyvern Workflow fires in Skyvern, your agent runs Add internal note to ticket in Trengo, or New Internal Note in Trengo to Create and Run a Task in Skyvern. 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 Skyvern and Trengo 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 Skyvern and Trengo can do together
From Skyvern to Trengo
When New or Updated Skyvern Workflow in Skyvern
then Add internal note to ticket in Trengo
When New or Updated Skyvern Workflow in Skyvern
then Add ticket in Trengo
From Trengo to Skyvern
When New Internal Note in Trengo
then Create and Run a Task in Skyvern
When New Outbound Message in Trengo
then Create and Run Task V2 in Skyvern
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 Skyvern and Trengo
Triggers and actions 4 triggers · 30 actions
Trigger
New or Updated Skyvern WorkflowTriggers when a Skyvern workflow (agent) is created or a new version of it is saved.
Action
Add browser sessionCreates a Skyvern browser session that persists across multiple task and workflow runs, and returns its session id and live-view link.
Action
Add credentialCreates a new stored credential (login, credit card or secret) in your Skyvern organization for use by tasks and agents.
Action
Add workflowCreates a new Skyvern workflow (agent) from a JSON or YAML definition and returns the saved workflow.
Action
Cancel runCancels a running Skyvern task run or workflow run by its id.
Action
Create and Run a TaskStarts a Skyvern browser-automation task from a plain-language prompt and returns the new run, including its id, status and link in the Skyvern app.
Action
Create and Run Task V2Starts a Skyvern 2.0 browser task from a natural-language prompt and returns the new run's id and status.
Action
Delete workflowDeletes a Skyvern workflow (agent) by its ID.
Action
Get a Browser SessionReturns the details of a Skyvern browser session, including its status, browser address for connecting, downloaded files and recordings.
Action
Get a TaskReturns a Skyvern task run by its id, including its status, extracted output, downloaded files, recording and screenshots.
Action
Get a Task V2Returns the status, output, recording and screenshots of a Skyvern task run.
Action
Get a WorkflowReturns a Skyvern workflow (agent) by its permanent id, including its blocks, parameters and settings.
Action
List credentialsReturns the credentials stored in your Skyvern organization, optionally filtered by vault, type or search text. Secrets are never included.
Action
List runsReturns your organization's task and agent runs, newest first, optionally filtered by status, run type, agent, tags, failure category or a search term.
Action
List workflowsReturns the workflows (agents) in your Skyvern organization, optionally filtered by search text, folder, status or tags. Returns up to 100 workflows.
Action
Run a WorkflowStarts a run of one of your Skyvern workflows (agents) with the parameters you supply, and returns the new run's id, status and link.
Trigger
New Internal NoteFires when an internal note is added to a Trengo ticket.
Trigger
New Outbound MessageTriggers when an outbound message is created.
Trigger
Ticket Label AddedTriggers when a label is added to a conversation.
Action
Add internal note to ticketAdds an internal note (visible only to agents) to a Trengo ticket.
Action
Add ticketCreate a new support ticket.
Action
Add ticket labelAttaches an existing label to a Trengo ticket.
Action
Create a ContactCreates a contact on a Trengo channel. If a contact with the same identifier already exists on that channel, Trengo returns the existing contact instead of creating a duplicate.
Action
Create webhookSubscribes a URL to one Trengo webhook event type. Used by Trengo instant triggers to register their delivery URL on activation.
Action
Delete contactDelete a contact by id.
Action
Delete ticketDelete a ticket by id.
Action
Find a ContactReturns the Trengo contacts that match the search term.
Action
Get contactRetrieve a single Trengo contact by its id.
Action
Get webhookFetches a webhook by ID, including the event it listens for, the address it sends to and its signing secret. An error occurs if the webhook is not found.
Action
List contactsList all contacts.
Action
List labelsLists the ticket labels defined in the Trengo account (first page).
Action
List ticketsReturns all tickets the connected user is authorized to see, optionally filtered by status, contact, users, channels, labels, last message type or update time.
Action
Send a MessageSends a reply message on an existing Trengo ticket, over the ticket's own channel.
Action
Update contactUpdate an existing contact by id.
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
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Questions
Skyvern and Trengo, answered
What can start an automation from Skyvern?
Any of Skyvern's 1 trigger in the catalog, including New or Updated Skyvern Workflow. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Trengo when something happens in Skyvern?
Any of Trengo's 15 actions, including Create a Contact, Create webhook, Send a Message and Update contact. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Trengo to Skyvern?
Yes. When something happens in Trengo, your agent can act in Skyvern too. This page covers both directions: Trengo's triggers and Skyvern's actions are listed here as well.
Do I have to build a connector for Skyvern or Trengo?
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 Skyvern and Trengo 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.