Integration
Connect Usersnap to DeepL
When New Feedback fires in Usersnap, 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 Usersnap and DeepL 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 Usersnap can start in DeepL
When New Feedback in Usersnap
then Translate document in DeepL
When New Feedback in Usersnap
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 Usersnap and DeepL
Triggers and actions 1 trigger · 13 actions
Trigger
New FeedbackTriggers when a new feedback item is submitted to a Usersnap project.
Action
Find FeedbackReturns feedback items in a Usersnap project that match a filter, newest first.
Action
Get Feedback CountReturns the total number of feedback items in a Usersnap project.
Action
List Project AssigneesReturns the users that feedback in a Usersnap project can be assigned to.
Action
List ProjectsReturns the Usersnap projects available to the connected account, with each project's ID and API key.
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
Usersnap and DeepL, answered
What can start an automation from Usersnap?
Any of Usersnap's 1 trigger in the catalog, including New Feedback. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DeepL when something happens in Usersnap?
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 Usersnap?
DeepL has no triggers in the catalog today, so automations start in Usersnap. 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 Usersnap 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.
Can my AI client use Usersnap and DeepL 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.