Integration
Connect Forecast and Tolstoy
When New Client fires in Forecast, your agent runs Get Inbox Email in Tolstoy, or New Response in Tolstoy to Create Task in Forecast. 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 Forecast 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 Forecast and Tolstoy can do together
From Forecast to Tolstoy
When New Client in Forecast
then Get Inbox Email in Tolstoy
When New Project in Forecast
then Add Media to Playlist in Tolstoy
From Tolstoy to Forecast
When New Response in Tolstoy
then Create Task in Forecast
When New Response in Tolstoy
then Update Task in Forecast
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 Forecast and Tolstoy
Triggers and actions 4 triggers · 47 actions
Trigger
New ClientTriggers when a new client is added in Forecast.
Trigger
New ProjectTriggers when a new project is created in Forecast.
Trigger
New Task in ProjectTriggers when a new task is added to a Forecast project.
Action
Create ClientCreates a client in Forecast and returns the new client.
Action
Create ProjectCreates a project in Forecast and returns the new project.
Action
Create TaskCreates a task in a Forecast project and returns the new task.
Action
Create Time RegistrationLogs time for a person against a Forecast project, task or non-project time and returns the time registration.
Action
Delete ClientDeletes a Forecast client.
Action
Delete TaskDeletes a Forecast task.
Action
Delete Time RegistrationDeletes a Forecast time registration.
Action
Find a ProjectFinds a Forecast project by its name and returns it, or found = false when no project has that name.
Action
Get ClientReturns one Forecast client by its ID.
Action
Get PersonReturns one Forecast person by their ID.
Action
Get ProjectReturns one Forecast project by its ID.
Action
Get TaskReturns one Forecast task by its ID.
Action
Get Time RegistrationReturns one Forecast time registration by its ID.
Action
List ClientsReturns every client in the Forecast account.
Action
List PersonsReturns every person in the Forecast account.
Action
List ProjectsReturns every project in the Forecast account.
Action
List Tasks in ProjectReturns every task in a Forecast project.
Action
Update ClientUpdates a Forecast client's details and returns the updated client.
Action
Update ProjectUpdates a Forecast project and returns the updated project.
Action
Update TaskUpdates a Forecast task and returns the updated task.
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.
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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More into Tolstoy
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Questions
Forecast and Tolstoy, answered
What can start an automation from Forecast?
Any of Forecast's 3 triggers in the catalog, including New Client, New Project and New Task in Project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Tolstoy when something happens in Forecast?
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 Forecast?
Yes. When something happens in Tolstoy, your agent can act in Forecast too. This page covers both directions: Tolstoy's triggers and Forecast's actions are listed here as well.
Do I have to build a connector for Forecast 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 Forecast 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.