Integration
Connect Returnless to DeepL
When Request Created fires in Returnless, 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 Returnless 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 Returnless can start in DeepL
When Request Created in Returnless
then Translate document in DeepL
When Return Created in Returnless
then Get Document Status 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 Returnless and DeepL
Triggers and actions 2 triggers · 25 actions
Trigger
Request CreatedTriggers when a customer creates a new return request that needs approval.
Trigger
Return CreatedTriggers when a new return is created, including a request once it is approved.
Action
Add noteAdds an internal note to a return or return request.
Action
Add RequestCreates a return request in Returnless for items from an existing sales order.
Action
Approve a RequestApproves a return request in Returnless so the customer can send the items back.
Action
Approve a Request Without ShipmentApproves a pending return request without a return shipment, so the customer keeps the items.
Action
Find customersReturns the customers in your Returnless account that match an email address.
Action
Find productsReturns the products in your Returnless account that match a SKU.
Action
Find RequestsFinds a Request in your Returnless account.
Action
Find ReturnsFinds returns (return orders) in Returnless by return number.
Action
Find sales ordersFinds sales orders in Returnless by order number.
Action
Get customerReturns a single Returnless customer by its id.
Action
Get Request (By Request ID)Returns a single return request (return order) from Returnless by its ID.
Action
Get Return (By Return ID)Returns a single return in Returnless, with all of its details, by its return ID.
Action
Get sales orderReturns a single sales order by its ID, including its customer, address and order details.
Action
List return reasonsReturns the return reasons configured in your Returnless account.
Action
Reject RequestRejects a pending return request in Returnless.
Action
Update returnChanges the status of a return, such as Checked, Approved or Resolved.
Action
Check API UsageReturns your DeepL API character usage and limits for the current billing period, with a per-product breakdown on Pro plans.
Action
Create GlossaryCreates a glossary of source and target term pairs for one language pair, which can then be used in translations.
Action
Delete GlossaryDeletes a glossary and all of its entries. Deleted glossaries cannot be recovered.
Action
Edit GlossaryRenames a DeepL multilingual glossary and/or replaces the entries of one of its language-pair dictionaries.
Action
Find LanguagesReturns the languages DeepL can translate from or into, optionally narrowed to those whose name or code matches your text.
Action
Get Document StatusReturns the translation status of a document uploaded with Translate document: queued, translating, done or error, with time remaining and billed characters.
Action
Improve TextImproves a piece of text with DeepL Write, correcting spelling and grammar and rephrasing it for clarity, optionally in a chosen writing style or tone.
Action
Translate documentUploads a document to DeepL for translation and returns the document ID and key used to check its status and download the translated file.
Action
Translate TextTranslates 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
Returnless and DeepL, answered
What can start an automation from Returnless?
Any of Returnless's 2 triggers in the catalog, including Request Created and Return Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DeepL when something happens in Returnless?
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 Returnless?
DeepL has no triggers in the catalog today, so automations start in Returnless. 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 Returnless 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.