Integration
Connect Habitify and iLovePDF
When New Log fires in Habitify, your agent runs Audit PDF File in iLovePDF, or New Completed Task in iLovePDF to Add Note in Habitify. 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 iLovePDF 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 Habitify and iLovePDF can do together
From Habitify to iLovePDF
When New Log in Habitify
then Audit PDF File in iLovePDF
When New Mood in Habitify
then Download Original Files in iLovePDF
From iLovePDF to Habitify
When New Completed Task in iLovePDF
then Add Note in Habitify
When New Completed Task in iLovePDF
then Add area in Habitify
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 iLovePDF
Triggers and actions 5 triggers · 29 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 habitCreates a new habit, with an optional schedule, goal, reminders, end condition and area assignments, and returns the created habit.
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
Update StatusChanges a habit's status for a day to completed, failed, skipped or in progress, replacing anything already logged for that day. Returns Habitify's confirmation message.
Trigger
New Completed TaskTriggers when an iLovePDF task (compress, merge, split, OCR and the other tools) finishes successfully, optionally only for one tool.
Action
Audit PDF FileDownloads the audit trail PDF of a signature request.
Action
Compress PDFCompresses a PDF from a public URL and returns the compressed file.
Action
Download Original FilesDownloads the original, unsigned files of a signature request.
Action
Download Signed FilesDownloads the signed file of a completed signature request (a ZIP when it held several files).
Action
Merge PDFCombines two PDFs from public URLs into one PDF and returns it.
Action
Ocr PDFRuns OCR on a scanned PDF from a public URL and returns a searchable PDF.
Action
Office to PDFConverts an Office document (DOC, DOCX, PPT, XLS, ODT and similar) from a public URL into a PDF and returns it.
Action
PDF to PDF/AConverts a PDF from a public URL into PDF/A for archiving and returns it.
Action
Protect PDFPassword-protects a PDF from a public URL and returns the protected file.
Action
Send ReminderSends a reminder email to every signer of a signature request who has not signed yet.
Action
Send Signature RequestSends a PDF from a public URL to a signer by email for a legally binding e-signature.
Action
Unlock PDFRemoves password security from a PDF at a public URL and returns the unlocked file.
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
Habitify and iLovePDF, 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 iLovePDF when something happens in Habitify?
Any of iLovePDF's 12 actions, including Send Reminder, Send Signature Request, Audit PDF File and Compress PDF. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from iLovePDF to Habitify?
Yes. When something happens in iLovePDF, your agent can act in Habitify too. This page covers both directions: iLovePDF's triggers and Habitify's actions are listed here as well.
Do I have to build a connector for Habitify or iLovePDF?
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 iLovePDF 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.