Integration
Connect Habitify to Teachable
When New Log fires in Habitify, your agent runs Unenroll Student From Course by Email in Teachable. 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 Teachable 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 Teachable
When New Log in Habitify
then Unenroll Student From Course by Email in Teachable
When New Mood in Habitify
then Create New User in Teachable
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 Teachable
Triggers and actions 4 triggers · 30 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
Create New UserCreates a new user (student) in your Teachable school. If a user with the email already exists, returns that user and their course enrollments.
Action
Enroll User in CourseEnrolls an existing Teachable user in a course at your school.
Action
Find StudentFinds a student in your Teachable school by email address and returns their name, email and user ID.
Action
Get courseReturns a course from your Teachable school by its ID, including its name, subtitle, description, publish status, image, author bio and curriculum sections with lectures.
Action
Get course progressReturns a student's progress in a course: percent complete, enrollment and completion dates, certificate details, and per-lecture completion status.
Action
Get userReturns a Teachable user by ID, including their role, tags, and the courses they are or have been enrolled in with progress.
Action
List course enrollmentsReturns the students actively enrolled in a course, with each student's enrollment date, expiry, completion date and percent complete.
Action
List coursesReturns the courses at your Teachable school, optionally filtered by name, published status, author or creation date.
Action
List pricing plansReturns all pricing plans at your Teachable school, with each plan's name, price, currency and course.
Action
List transactionsReturns the sales transactions made in your school, optionally filtered by student, course, pricing plan, affiliate, refund or chargeback status, and date range.
Action
List usersReturns the users at your Teachable school, with their ID, name and email. Optionally filter to a single email address.
Action
Mark lecture completeMarks a lecture in a Teachable course as complete for a student.
Action
Unenroll Student From Course by EmailRemoves a student from a course, finding the student by their email address. Fails when no student with that email exists.
Action
Unenroll Student From Course by User ID (Legacy)Removes a student from a Teachable course using the student's user ID.
Action
Update userUpdates a Teachable user's name or signup source and returns the updated user with their course enrollments and tags.
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 Teachable, 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 Teachable when something happens in Habitify?
Any of Teachable's 15 actions, including Create New User, Update user, Enroll User in Course and Find Student. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Teachable to Habitify?
Teachable has no triggers in the catalog today, so automations start in Habitify. If you need the other direction, ask: your agent reads Teachable's API documentation and adds it.
Do I have to build a connector for Habitify or Teachable?
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 Teachable 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.