Integration
Connect servis.ai and Trengo
When Created or Updated App Record fires in servis.ai, your agent runs Add internal note to ticket in Trengo, or New Internal Note in Trengo to Create App Record in servis.ai. 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 servis.ai 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 servis.ai and Trengo can do together
From servis.ai to Trengo
When Created or Updated App Record in servis.ai
then Add internal note to ticket in Trengo
From Trengo to servis.ai
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 servis.ai and Trengo
Triggers and actions 4 triggers ยท 19 actions
- Created or Updated App Record
Triggers when a record in the chosen servis.ai app is created or updated.
- Create App Record
Creates a new record in any servis.ai app (contacts, deals, accounts or a custom app) and returns its ID and field values.
- Find App Record
Finds the first record in a servis.ai app whose chosen field equals a value.
- Update App Record
Updates fields on an existing record in any servis.ai app and returns the updated record.
- Upsert App Record With Lines
Creates or updates a servis.ai record together with its line items in one step.
- New Internal Note
Fires when an internal note is added to a Trengo ticket.
- New Outbound Message
Triggers when an outbound message is created.
- Ticket Label Added
Triggers when a label is added to a conversation.
- Add internal note to ticket
Adds an internal note (visible only to agents) to a Trengo ticket.
- Add ticket
Create a new support ticket.
- Add ticket label
Attaches an existing label to a Trengo ticket.
- Create a Contact
Creates 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.
- Create webhook
Subscribes a URL to one Trengo webhook event type. Used by Trengo instant triggers to register their delivery URL on activation.
- Delete contact
Delete a contact by id.
- Delete ticket
Delete a ticket by id.
- Find a Contact
Returns the Trengo contacts that match the search term.
- Get contact
Retrieve a single Trengo contact by its id.
- Get webhook
Fetches 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.
- List contacts
List all contacts.
- List labels
Lists the ticket labels defined in the Trengo account (first page).
- List tickets
Returns all tickets the connected user is authorized to see, optionally filtered by status, contact, users, channels, labels, last message type or update time.
- Send a Message
Sends a reply message on an existing Trengo ticket, over the ticket's own channel.
- Update contact
Update 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
Reviews
What our customers say
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Questions
servis.ai and Trengo, answered
What can start an automation from servis.ai?
Any of servis.ai's 1 trigger in the catalog, including Created or Updated App Record. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Trengo when something happens in servis.ai?
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 servis.ai?
Yes. When something happens in Trengo, your agent can act in servis.ai too. This page covers both directions: Trengo's triggers and servis.ai's actions are listed here as well.
Do I have to build a connector for servis.ai 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 servis.ai 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.