Integration
Connect OptiPub and Tolstoy
When Feedback Loop fires in OptiPub, your agent runs Get Inbox Email in Tolstoy, or New Response in Tolstoy to Add Email to Segment in OptiPub. 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 OptiPub and Tolstoy 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 OptiPub and Tolstoy can do together
From OptiPub to Tolstoy
When Feedback Loop in OptiPub
then Get Inbox Email in Tolstoy
From Tolstoy to OptiPub
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 OptiPub and Tolstoy
Triggers and actions 6 triggers · 35 actions
- Feedback Loop
Triggers when an OptiPub email message receives a spam (feedback loop) complaint.
- Hard Bounce
Triggers when an OptiPub email message receives a bounce.
- List-Unsubscribe
Triggers when a recipient uses the list-unsubscribe header on an OptiPub email message.
- Subscribe
Triggers when a new subscription is created in OptiPub.
- Unsubscribe
Triggers when an OptiPub subscription is cancelled.
- Add Email to Segment
Adds an email address to an OptiPub segment.
- Cancel Subscription
Cancels a subscriber's subscription to an OptiPub publication by email.
- Create Resource
Creates a content resource (article) in an OptiPub publication.
- Create Subscription
Creates a subscription to an OptiPub publication for an email address.
- Find Subscriber
Returns an OptiPub subscriber by ID or email, with their emails and subscriptions.
- Remove Email From Segment
Removes an email address from an OptiPub segment.
- Remove Tag From Subscriber
Removes tags from an OptiPub subscriber by tag name.
- Send Email
Sends or schedules an HTML email message to OptiPub segments, or a test send to email addresses.
- New Response
Triggers when a shopper submits answers, preferences or an email through a Tolstoy AI widget.
- Add Media to Playlist
Adds one media-library item to a playlist.
- Approve Media Draft
Approves a completed Studio draft so it becomes a media-library item.
- Archive Media
Archives a media-library item.
- Delete Playlist
Deletes a media-library playlist; its media stay in the library.
- Get Brand Profile
Returns the brand profile of a store: name, website, description, audience, colors and fonts.
- Get Credit Balance
Returns the credits the account has left and has spent this period, per product.
- Get Inbox Email
Returns one email of the workspace inbox in full: sender, subject, text and HTML.
- Get Model
Returns one fashion model with its images and measurements.
- Get Product
Returns one Shopify product from the store's Tolstoy catalog: title, description, variants and images.
- Get Products Count
Returns the total number of products in the store, drafts and unpublished products included.
- Get Shopper Assistant Profile
Returns the profile of the store's AI shopping assistant: name, role, goal and tone.
- Get Usage
Returns the plan names, monthly credit allowance and credits spent this period.
- List Collection Products
Returns the products in one Shopify collection.
- List Collections
Returns the store's Shopify collections with their product counts.
- List Folders
Returns the Studio projects and the folders inside them.
- List Inbox Emails
Returns the emails in the workspace's brand-newsletter inbox, newest first.
- List Models
Returns the workspace's fashion models and Tolstoy's stock models.
- List Playlists
Returns the media library's playlists.
- List Stores
Returns the Shopify stores connected to the Tolstoy workspace, with the store URL each other operation needs.
- List Themes
Returns the store's Shopify themes; role MAIN is the live theme.
- List Tracked Brands
Returns the competitor brands the workspace tracks in Ad Spy.
- List Video Templates
Returns the newest saved Remotion video templates in the workspace.
- Remove Media from Playlist
Removes one media-library item from a playlist.
- Rename Folder
Renames a Studio project or folder.
- Rename Playlist
Renames a media-library playlist.
- Search Products
Searches the store's products by keyword, product ID, variant ID or SKU and returns one page of matching products.
- Unarchive Media
Restores an archived media-library item.
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
OptiPub and Tolstoy, answered
What can start an automation from OptiPub?
Any of OptiPub's 5 triggers in the catalog, including Feedback Loop, Hard Bounce, List-Unsubscribe and Subscribe. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Tolstoy when something happens in OptiPub?
Any of Tolstoy's 27 actions, including Add Media to Playlist, Approve Media Draft, Get Brand Profile and Get Credit Balance. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Tolstoy to OptiPub?
Yes. When something happens in Tolstoy, your agent can act in OptiPub too. This page covers both directions: Tolstoy's triggers and OptiPub's actions are listed here as well.
Do I have to build a connector for OptiPub or Tolstoy?
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 OptiPub and Tolstoy 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.