Integration
Connect Habitify to Extracta.ai
When New Log fires in Habitify, your agent runs Add classification in Extracta.ai. 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 Habitify and Extracta.ai 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 Habitify can start in Extracta.ai
When New Log in Habitify
then Add classification in Extracta.ai
When New Mood in Habitify
then Add extraction in Extracta.ai
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 Habitify and Extracta.ai
Triggers and actions 4 triggers · 25 actions
Trigger
New LogTriggers when a new log entry is recorded for the selected habit.
Trigger
New MoodTriggered when a new mood is logged on a note for the chosen habit.
Trigger
New NoteTriggers when a new note is added to the selected habit.
Trigger
New StatusTriggers when a habit is marked completed, skipped or failed for a day.
Action
Add areaCreates a new area for organizing and categorizing habits, and returns the created area.
Action
Add LogAdds a log entry with a specific value and unit to a measurable habit, for today or a chosen date.
Action
Add NoteAdds a note to a habit, with any combination of text, a mood level and photos. Returns the note that was created.
Action
Complete habitMarks a habit as completed for a specific date, with Habitify working out the log value from the habit's goal.
Action
Delete habitPermanently deletes a habit along with its logs, notes, goals and reminders. This cannot be undone.
Action
Delete habit logPermanently deletes one log entry from a habit, removing the recorded value from its tracking history.
Action
Fail habitMarks a habit as failed for a specific date, defaulting to today.
Action
Get habitReturns the full details of a habit, including its schedule, goals, reminders, areas and time-of-day periods. An error occurs if the habit is not found.
Action
Get Habit JournalReturns all your habits for a given day, with each habit's completion status, current streak and progress toward its goal.
Action
Get habit statisticsReturns aggregated statistics for a habit over an optional date range, including completion, skip and failure counts, total and average logged values, and a day-by-day progress breakdown.
Action
List areasReturns all of the areas in the Habitify account, the groups used to organize habits such as Health or Work.
Action
List habit logsReturns the log entries recorded for a habit, newest first, optionally limited to a date range.
Action
List habit notesReturns the notes attached to a habit, including each note's text, mood level, photos and creation time.
Action
List habitsReturns the habits in the account, optionally filtered by archived status, area, habit type or time of day.
Action
Skip habitMarks a habit as skipped for a specific date, for days you intentionally decide not to perform it. Returns Habitify's confirmation message.
Action
Add classificationCreates a document classification with a list of document types that uploaded documents can be classified into. Returns the new classification's id.
Action
Add extractionCreates a new data extraction in Extracta.ai that defines which fields to pull out of uploaded documents. Returns the new extraction's id, which you use when uploading files for processing.
Action
Delete classificationPermanently deletes a document classification, including all of its batches, results and uploaded files.
Action
Delete extractionPermanently deletes an extraction with all its batches and files, or just one batch or one file within it.
Action
Get classificationReturns the details of a document classification, including its name, description and configured document types with their keywords and linked extraction templates.
Action
Get creditsReturns the number of credits currently available on your Extracta.ai account, where one credit processes one page.
Action
Get extractionReturns the setup of an extraction: its name, description, language, options, the fields it extracts, and the batches processed under it.
Action
Get extraction resultsReturns the extracted data for a batch of documents processed by an extraction, or its waiting status if processing is not finished. Optionally narrows the results to a single file.
Action
Update classificationUpdates an existing document classification's name, description and document types.
Action
Update extractionUpdates an existing Extracta extraction's name, description, language, processing options or fields to extract. Anything left blank stays unchanged.
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
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Questions
Habitify and Extracta.ai, answered
What can start an automation from Habitify?
Any of Habitify's 4 triggers in the catalog, including New Log, New Mood, New Note and New Status. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Extracta.ai when something happens in Habitify?
Any of Extracta.ai's 10 actions, including Update classification, Update extraction, Add classification and Add extraction. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Extracta.ai to Habitify?
Extracta.ai has no triggers in the catalog today, so automations start in Habitify. If you need the other direction, ask: your agent reads Extracta.ai's API documentation and adds it.
Do I have to build a connector for Habitify or Extracta.ai?
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 Habitify and Extracta.ai 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.