Integration
Connect Tolstoy to DeepL
When New Response fires in Tolstoy, 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 Tolstoy 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)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 Tolstoy can start in DeepL
When New Response in Tolstoy
then Translate document in DeepL
When New Response in Tolstoy
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 Tolstoy and DeepL
Triggers and actions 1 trigger · 36 actions
Trigger
New ResponseTriggers when a shopper submits answers, preferences or an email through a Tolstoy AI widget.
Action
Add Media to PlaylistAdds one media-library item to a playlist.
Action
Approve Media DraftApproves a completed Studio draft so it becomes a media-library item.
Action
Archive MediaArchives a media-library item.
Action
Delete PlaylistDeletes a media-library playlist; its media stay in the library.
Action
Get Brand ProfileReturns the brand profile of a store: name, website, description, audience, colors and fonts.
Action
Get Credit BalanceReturns the credits the account has left and has spent this period, per product.
Action
Get Inbox EmailReturns one email of the workspace inbox in full: sender, subject, text and HTML.
Action
Get ModelReturns one fashion model with its images and measurements.
Action
Get ProductReturns one Shopify product from the store's Tolstoy catalog: title, description, variants and images.
Action
Get Products CountReturns the total number of products in the store, drafts and unpublished products included.
Action
Get Shopper Assistant ProfileReturns the profile of the store's AI shopping assistant: name, role, goal and tone.
Action
Get UsageReturns the plan names, monthly credit allowance and credits spent this period.
Action
List Collection ProductsReturns the products in one Shopify collection.
Action
List CollectionsReturns the store's Shopify collections with their product counts.
Action
List FoldersReturns the Studio projects and the folders inside them.
Action
List Inbox EmailsReturns the emails in the workspace's brand-newsletter inbox, newest first.
Action
List ModelsReturns the workspace's fashion models and Tolstoy's stock models.
Action
List PlaylistsReturns the media library's playlists.
Action
List StoresReturns the Shopify stores connected to the Tolstoy workspace, with the store URL each other operation needs.
Action
List ThemesReturns the store's Shopify themes; role MAIN is the live theme.
Action
List Tracked BrandsReturns the competitor brands the workspace tracks in Ad Spy.
Action
List Video TemplatesReturns the newest saved Remotion video templates in the workspace.
Action
Remove Media from PlaylistRemoves one media-library item from a playlist.
Action
Rename FolderRenames a Studio project or folder.
Action
Rename PlaylistRenames a media-library playlist.
Action
Search ProductsSearches the store's products by keyword, product ID, variant ID or SKU and returns one page of matching products.
Action
Unarchive MediaRestores an archived media-library item.
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
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Questions
Tolstoy and DeepL, answered
What can start an automation from Tolstoy?
Any of Tolstoy's 1 trigger in the catalog, including New Response. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DeepL when something happens in Tolstoy?
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 Tolstoy?
DeepL has no triggers in the catalog today, so automations start in Tolstoy. 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 Tolstoy 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 Tolstoy 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.