Integration
Connect LearnDash to Vectara
When Course Completed fires in LearnDash, your agent runs Add document in Vectara. 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 LearnDash and Vectara 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 LearnDash can start in Vectara
When Course Completed in LearnDash
then Add document in Vectara
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 LearnDash and Vectara
Triggers and actions 8 triggers · 21 actions
- Course Completed
Triggers when the user you choose completes a LearnDash course.
- Enrolled Into a Group
Triggers when a user is added to the LearnDash group you choose.
- Essay Submitted
Triggers when a learner submits a new essay answer on a LearnDash quiz.
- Lesson Completed
Triggers when the user you choose completes a lesson in the course you choose.
- New Course
Triggers when a new course is created on your LearnDash site.
- New Course Enrollment
Triggers when a user is enrolled in the course you choose.
- Quiz Taken
Triggers when the user you choose finishes a LearnDash quiz attempt.
- Topic Completed
Triggers when the user you choose completes a topic in the course you choose.
- Create Course
Creates a new LearnDash course.
- Create Group
Creates a new LearnDash group.
- Get Course
Returns one LearnDash course by its ID.
- Get Group
Returns one LearnDash group by its ID.
- Get Lesson
Returns one LearnDash lesson by its ID.
- Get User Course Progress
Returns a user's progress in one LearnDash course: status, steps completed and dates.
- List Courses
Returns the courses on your LearnDash site, optionally filtered by search text, status or date.
- List Groups
Returns the groups on your LearnDash site, optionally filtered by search text, status or date.
- List Lessons
Returns the lessons on your LearnDash site, optionally filtered by search text, status or date.
- Update Course
Updates an existing LearnDash course. Only the fields you fill in are changed.
- Update Group
Updates an existing LearnDash group. Only the fields you fill in are changed.
- Add corpus
Creates a corpus (container for documents).
- Add document
Adds a document to a Vectara corpus for indexing, either as a structured document (sections the platform chunks automatically) or a core document (explicit document parts).
- Delete corpus
Permanently deletes a Vectara corpus and all of its documents and data. The corpus key is released and can be reused.
- Delete document
Deletes a document from a corpus.
- Find documents by criteria
Returns up to 100 documents in a corpus whose document metadata matches the specified filter expression.
- Get corpus
Retrieves the settings and usage of a corpus by its key, without searching its contents.
- Get document
Retrieves a document from a Vectara corpus, including its text parts, metadata, tables and images.
- List corpora
Lists the corpora in the Vectara account, optionally filtered by name/summary or corpus ID.
- List documents
Lists documents in a corpus.
- Query corpus
Queries a corpus with full control over retrieval, hybrid search, reranking, and RAG generation.
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
LearnDash and Vectara, answered
What can start an automation from LearnDash?
Any of LearnDash's 8 triggers in the catalog, including Course Completed, Essay Submitted, Lesson Completed and New Course. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Vectara when something happens in LearnDash?
Any of Vectara's 10 actions, including Add corpus, Add document, Find documents by criteria and Get corpus. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Vectara to LearnDash?
Vectara has no triggers in the catalog today, so automations start in LearnDash. If you need the other direction, ask: your agent reads Vectara's API documentation and adds it.
Do I have to build a connector for LearnDash or Vectara?
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 LearnDash and Vectara 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.