Integration
Connect Flatfile and Wachete
When something happens in Flatfile or Wachete, your agent does the next thing in the other. Describe it 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 Flatfile and Wachete 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 Flatfile and Wachete can do together
From Flatfile to Wachete
When New Agent in Flatfile
then Create monitor in Wachete
When New App in Flatfile
then Update monitor in Wachete
From Wachete to Flatfile
When New notification for monitor in Wachete
then Create Document in Flatfile
When Any new notification in Wachete
then Create Prompt in Flatfile
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 Flatfile and Wachete
Triggers and actions 10 triggers ยท 11 actions
Trigger
New AgentTriggers when a new agent is created.
Trigger
New AppTriggers when a new app is created.
Trigger
New DocumentTriggers when a new document is created in a space.
Trigger
New EventTriggers when a new event occurs in Flatfile.
Trigger
New PromptTriggers when a new prompt is created.
Trigger
New SheetTrigger when a new sheet is created in a Flatfile workbook.
Trigger
New UserTriggers when a new user is created.
Trigger
New WorkbookTrigger when a new workbook is created in Flatfile.
Action
Create DocumentCreates a new document in Flatfile.
Action
Create PromptCreates a new AI prompt in Flatfile.
Action
Get DocumentRetrieves a single document from a Flatfile space by its ID.
Action
Upload FileUploads a file to Flatfile.
Trigger
Any new notificationFires when there is a new change notification from any monitor in your Wachete account.
Trigger
New notification for monitorFires when there is a new change notification from the specified Wachete monitor (taskId).
Action
Create monitorCreate a new Wachete monitor (wachet) that watches a web page or part of a page for changes.
Action
Delete monitorDelete a Wachete monitor by its ID.
Action
Get monitorGet information about a specific Wachete monitor by its ID.
Action
Get monitor dataGet the captured data/history for a Wachete monitor, optionally as a diff and within a date range.
Action
List foldersList folder contents, optionally under a parent folder.
Action
List notificationsList change notifications, optionally filtered by monitor (taskId) and date range.
Action
Update monitorChange the settings of an existing Wachete monitor โ name, URL, watched/excluded XPath, regex, note, job type, check frequency and location, crawl options, folder, alerts, notification endpoints, headers and proxies. A partial update: the op first reads the monitor's current record, overlays only the fields you filled in, then writes the merged record back, so anything you leave blank keeps its current value โ including settings this op does not expose. Identify the monitor by its id. Check frequency is in seconds (86400 = daily) and is ignored if not positive; the true/false options take the words true or false; alerts, notification endpoints, headers and proxies take JSON. Returns the monitor id, name and URL after the update plus the full monitor record.
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
Flatfile and Wachete, answered
What can start an automation from Flatfile?
Any of Flatfile's 8 triggers in the catalog, including New Agent, New App, New Document and New Event. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wachete when something happens in Flatfile?
Any of Wachete's 7 actions, including Create monitor, Update monitor, Get monitor and Get monitor data. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wachete to Flatfile?
Yes. When something happens in Wachete, your agent can act in Flatfile too. This page covers both directions: Wachete's triggers and Flatfile's actions are listed here as well.
Do I have to build a connector for Flatfile or Wachete?
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.