Integration
Connect Trengo to DeepL
When New Internal Note fires in Trengo, your agent runs Translate document in DeepL. 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 Trengo and DeepL to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Trengo can start in DeepL
When New Internal Note in Trengo
then Translate document in DeepL
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 Trengo and DeepL
Triggers and actions 3 triggers · 24 actions
- 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.
- Check API Usage
Returns your DeepL API character usage and limits for the current billing period, with a per-product breakdown on Pro plans.
- Create Glossary
Creates a glossary of source and target term pairs for one language pair, which can then be used in translations.
- Delete Glossary
Deletes a glossary and all of its entries. Deleted glossaries cannot be recovered.
- Edit Glossary
Renames a DeepL multilingual glossary and/or replaces the entries of one of its language-pair dictionaries.
- Find Languages
Returns the languages DeepL can translate from or into, optionally narrowed to those whose name or code matches your text.
- Get Document Status
Returns the translation status of a document uploaded with Translate document: queued, translating, done or error, with time remaining and billed characters.
- Improve Text
Improves a piece of text with DeepL Write, correcting spelling and grammar and rephrasing it for clarity, optionally in a chosen writing style or tone.
- Translate document
Uploads a document to DeepL for translation and returns the document ID and key used to check its status and download the translated file.
- Translate Text
Translates text into a target language with DeepL, with options for formality, glossaries, style rules, translation memories and tag handling.
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
Trengo and DeepL, answered
What can start an automation from Trengo?
Any of Trengo's 3 triggers in the catalog, including New Internal Note, New Outbound Message and Ticket Label Added. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DeepL when something happens in Trengo?
Any of DeepL's 9 actions, including Create Glossary, Check API Usage, Edit Glossary and Find Languages. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from DeepL to Trengo?
DeepL has no triggers in the catalog today, so automations start in Trengo. If you need the other direction, ask: your agent reads DeepL's API documentation and adds it.
Do I have to build a connector for Trengo or DeepL?
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.
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.