Integration
Connect Frame.io and LearnDash
When Comment Completed fires in Frame.io, your agent runs Get User Course Progress in LearnDash, or Course Completed in LearnDash to Create Comment in Frame.io. 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 Frame.io and LearnDash 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 Frame.io and LearnDash can do together
From Frame.io to LearnDash
When Comment Completed in Frame.io
then Get User Course Progress in LearnDash
When Comment Created in Frame.io
then Create Course in LearnDash
From LearnDash to Frame.io
When Course Completed in LearnDash
then Create Comment in Frame.io
When Essay Submitted in LearnDash
then Create Project in Frame.io
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 Frame.io and LearnDash
Triggers and actions 17 triggers · 26 actions
Trigger
Comment CompletedTriggers when a comment is marked as completed. Shows live data from your projects.
Trigger
Comment CreatedTriggers when a new comment is created.
Trigger
Comment UpdatedTriggers when a comment is updated.
Trigger
File CreatedTriggers when a file is first created, but before it is uploaded and processed.
Trigger
File DeletedTriggers when a file is deleted. Note: Only deletion metadata is available, not the original file content.
Trigger
File ReadyTriggers when a newly uploaded file has been fully processed and is available for preview, comments, sharing, and downloads.
Trigger
File Upload CompletedTriggers when a file has been fully uploaded to Frame.io and is ready for processing.
Trigger
Metadata Value UpdatedTriggers when a metadata value is updated. Shows live data from your projects. Prioritizes Status field changes (Approved, In Review, etc.) for workflow automation.
Trigger
Project CreatedTriggers when a new project is created. Shows live data from your workspace.
Action
Create CommentCreates a new comment on a file.
Action
Create FolderCreates a new folder within a project.
Action
Create ProjectCreates a new project within a workspace.
Action
Create ShareCreates a new share.
Action
Create Version StackCreate a new version stack to group related asset versions together.
Action
Create WorkspaceCreates a new workspace within an account.
Action
Custom API Request (SDK)Make a custom request to the Frame.io v4 API using the official SDK with guided method selection.
Action
Delete Filedeletes a file, firing the file.deleted webhook.
Action
Show Project DetailsGet detailed information about a specific project.
Action
Show ShareReturns one share by id.
Action
Show WorkspaceReturns a single workspace's details.
Action
Update CommentUpdates an existing comment with new text, annotation, or completion status.
Action
Update File Metadatasets metadata field values (field_definition_id + value) on one or more file_ids; fires metadata.value.updated.
Action
Update ProjectUpdates an existing project name, status, or access restrictions.
Action
Upload File From URLUpload a file to Frame.io from a remote URL (like Google Drive, AWS S3, etc.)
Trigger
Course CompletedTriggers when the user you choose completes a LearnDash course.
Trigger
Enrolled Into a GroupTriggers when a user is added to the LearnDash group you choose.
Trigger
Essay SubmittedTriggers when a learner submits a new essay answer on a LearnDash quiz.
Trigger
Lesson CompletedTriggers when the user you choose completes a lesson in the course you choose.
Trigger
New CourseTriggers when a new course is created on your LearnDash site.
Trigger
New Course EnrollmentTriggers when a user is enrolled in the course you choose.
Trigger
Quiz TakenTriggers when the user you choose finishes a LearnDash quiz attempt.
Trigger
Topic CompletedTriggers when the user you choose completes a topic in the course you choose.
Action
Create CourseCreates a new LearnDash course.
Action
Create GroupCreates a new LearnDash group.
Action
Get CourseReturns one LearnDash course by its ID.
Action
Get GroupReturns one LearnDash group by its ID.
Action
Get LessonReturns one LearnDash lesson by its ID.
Action
Get User Course ProgressReturns a user's progress in one LearnDash course: status, steps completed and dates.
Action
List CoursesReturns the courses on your LearnDash site, optionally filtered by search text, status or date.
Action
List GroupsReturns the groups on your LearnDash site, optionally filtered by search text, status or date.
Action
List LessonsReturns the lessons on your LearnDash site, optionally filtered by search text, status or date.
Action
Update CourseUpdates an existing LearnDash course. Only the fields you fill in are changed.
Action
Update GroupUpdates an existing LearnDash group. Only the fields you fill in are changed.
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
Frame.io and LearnDash, answered
What can start an automation from Frame.io?
Any of Frame.io's 9 triggers in the catalog, including Comment Completed, Comment Created, Comment Updated and File Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in LearnDash when something happens in Frame.io?
Any of LearnDash's 11 actions, including Create Course, Create Group, Update Course and Update Group. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from LearnDash to Frame.io?
Yes. When something happens in LearnDash, your agent can act in Frame.io too. This page covers both directions: LearnDash's triggers and Frame.io's actions are listed here as well.
Do I have to build a connector for Frame.io or LearnDash?
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 Frame.io and LearnDash 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.