Integration
Connect Overloop.ai to Teachable
When List Created fires in Overloop.ai, 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 Overloop.ai 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 Overloop.ai can start in Teachable
When List Created in Overloop.ai
then Unenroll Student From Course by Email 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 Overloop.ai and Teachable
Triggers and actions 2 triggers · 31 actions
- List Created
Triggers when a new list is created in Overloop.ai.
- New Exclusion List Item
Triggers when a new email address or domain is added to your Overloop exclusion list.
- Add list
Creates a new prospect or organization list in Overloop.
- Add Prospect to Campaign
Adds a prospect to an Overloop campaign by enrolling them in it, optionally at a specific step or start time. Returns the new enrollment.
- Create Organization
Creates a new organization in Overloop.ai with its name, contact details, address, lists and any custom fields.
- Create Prospect
Creates a new prospect in Overloop.ai with contact details, lists, owner, organization and any custom fields, and returns the created prospect.
- Delete list
Permanently deletes a list in Overloop. Prospects that were in the list are kept.
- Delete organization
Permanently deletes an organization in Overloop.ai. This cannot be undone.
- Delete prospect
Permanently deletes a prospect from Overloop.ai, along with all of its history (messages, replies). This cannot be undone.
- Enroll Prospect
Enrolls a prospect into an Overloop campaign or prospect-based workflow, optionally at a specific step or start time.
- Exclude Prospect
Excludes a prospect from all future outreach by adding their email address (or their whole domain) to the Overloop exclusion list.
- Get organization
Returns a single Overloop organization by its ID, including its standard details, lists and any custom field values.
- Get prospect
Returns a prospect by ID, including its contact details, engagement status, lists and custom field values. An error occurs if the prospect is not found.
- List automations
Returns the automations (outbound campaigns and productivity workflows) in your Overloop account, optionally filtered by type, record type or status.
- List users
Returns the users on your Overloop.ai account, with their name, email, role and status, optionally filtered to active or disabled users.
- Search List
Returns the Overloop lists whose name contains the text you give, optionally limited to prospect or organization lists.
- Search Organization
Returns the organizations in Overloop.ai that match the name, website, email or other details you specify.
- Search Prospect
Returns the prospects that match the email, name, job title, location or engagement status you specify.
- Update list
Renames an existing Overloop list and returns the updated list.
- Create New User
Creates a new user (student) in your Teachable school. If a user with the email already exists, returns that user and their course enrollments.
- Find Student
Finds a student in your Teachable school by email address and returns their name, email and user ID.
- Get course
Returns a course from your Teachable school by its ID, including its name, subtitle, description, publish status, image, author bio and curriculum sections with lectures.
- Get course progress
Returns a student's progress in a course: percent complete, enrollment and completion dates, certificate details, and per-lecture completion status.
- Get user
Returns a Teachable user by ID, including their role, tags, and the courses they are or have been enrolled in with progress.
- List course enrollments
Returns the students actively enrolled in a course, with each student's enrollment date, expiry, completion date and percent complete.
- List courses
Returns the courses at your Teachable school, optionally filtered by name, published status, author or creation date.
- List pricing plans
Returns all pricing plans at your Teachable school, with each plan's name, price, currency and course.
- List transactions
Returns the sales transactions made in your school, optionally filtered by student, course, pricing plan, affiliate, refund or chargeback status, and date range.
- List users
Returns the users at your Teachable school, with their ID, name and email. Optionally filter to a single email address.
- Mark lecture complete
Marks a lecture in a Teachable course as complete for a student.
- Unenroll Student From Course by Email
Removes a student from a course, finding the student by their email address. Fails when no student with that email exists.
- Unenroll Student From Course by User ID (Legacy)
Removes a student from a Teachable course using the student's user ID.
- Update user
Updates 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
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Questions
Overloop.ai and Teachable, answered
What can start an automation from Overloop.ai?
Any of Overloop.ai's 2 triggers in the catalog, including List Created and New Exclusion List Item. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Teachable when something happens in Overloop.ai?
Any of Teachable's 14 actions, including Create New User, Update user, Find Student and Get course. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Teachable to Overloop.ai?
Teachable has no triggers in the catalog today, so automations start in Overloop.ai. 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 Overloop.ai 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 Overloop.ai 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.