Integration
Connect LifterLMS to Azure AI Search Vector Store
When New Course fires in LifterLMS, your agent runs Upload Documents in Azure AI Search Vector Store. 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 LifterLMS and Azure AI Search Vector Store 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 LifterLMS can start in Azure AI Search Vector Store
When New Course in LifterLMS
then Upload Documents in Azure AI Search Vector Store
When New Course Enrollment in LifterLMS
then Get Document in Azure AI Search Vector Store
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 LifterLMS and Azure AI Search Vector Store
Triggers and actions 10 triggers · 21 actions
Trigger
Course Access CancelledTriggers when a student's enrollment in the selected LifterLMS course is cancelled.
Trigger
Course Access ExpiredTriggers when a student's access to a LifterLMS course expires.
Trigger
Membership Access CancelledTriggers when a student's access to a LifterLMS membership is cancelled.
Trigger
Membership Access ExpiredTriggers when a student's access to the selected LifterLMS membership expires.
Trigger
New CourseTriggers when a new course is created in LifterLMS.
Trigger
New Course EnrollmentTriggers when a student enrolls in the selected LifterLMS course.
Trigger
New MembershipTriggers when a new LifterLMS membership is created.
Trigger
New Membership EnrollmentTriggers when a student is enrolled in the selected LifterLMS membership.
Trigger
New OrderTriggers when a new LifterLMS order is placed on your site, optionally limited to a status, student, product or access plan.
Trigger
New StudentTriggers when a new LifterLMS student (a WordPress user with the student role) is created.
Action
Cancel Course AccessCancels a student's access to a LifterLMS course by setting their course enrollment status to cancelled.
Action
Cancel Membership AccessCancels a student's access to a LifterLMS membership by setting their membership enrollment status to cancelled.
Action
Create a WordPress UserCreates a new WordPress user (a LifterLMS student) on your site, with the student role unless you choose another.
Action
Enroll in a CourseEnrolls a WordPress user (student) in a LifterLMS course and returns the new enrollment.
Action
Enroll in a MembershipEnrolls a WordPress user in a LifterLMS membership and returns the resulting enrollment.
Action
Expire Course AccessSets a student's enrollment in a LifterLMS course to expired and returns the updated enrollment.
Action
Expire Membership AccessSets a student's enrollment in a LifterLMS membership to expired and returns the updated enrollment.
Action
Find CoursesSearches LifterLMS courses by a search term and returns the matching courses.
Action
Get CourseReturns the details of a LifterLMS course, including its title, content, status, enrollment and access dates, and catalog settings.
Action
Get Course EnrollmentReturns a student's enrollment in a LifterLMS course, including its status, dates and what triggered it.
Action
Get OrderReturns the details of a LifterLMS order, including the student, purchased course or membership, access plan, totals and status.
Action
Retrieve a WordPress UserReturns a WordPress user (LifterLMS student) by their user ID, including profile and billing details.
Action
Search WordPress User by EmailFinds the WordPress user (LifterLMS student) whose email address exactly matches the one you supply, and returns their profile.
Action
Search WordPress User by UsernameFinds the WordPress user on your LifterLMS site whose username exactly matches the one you supply, and returns their profile.
Action
Create IndexCreates a search index with the fields you define, including vector fields for similarity search.
Action
Delete IndexDeletes a search index and every document in it.
Action
Get DocumentReturns one document from a search index by its key.
Action
Get IndexReturns a search index's definition: its fields, vector search and semantic settings.
Action
List IndexesReturns the search indexes in your Azure AI Search service.
Action
Search DocumentsSearches a search index by keywords, filter and/or vector similarity and returns the matching documents with their scores.
Action
Upload DocumentsAdds documents to a search index, replacing any existing document with the same key.
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
LifterLMS and Azure AI Search Vector Store, answered
What can start an automation from LifterLMS?
Any of LifterLMS's 10 triggers in the catalog, including New Course, New Course Enrollment, New Membership and New Membership Enrollment. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure AI Search Vector Store when something happens in LifterLMS?
Any of Azure AI Search Vector Store's 7 actions, including Create Index, Upload Documents, Get Document and Get Index. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure AI Search Vector Store to LifterLMS?
Azure AI Search Vector Store has no triggers in the catalog today, so automations start in LifterLMS. If you need the other direction, ask: your agent reads Azure AI Search Vector Store's API documentation and adds it.
Do I have to build a connector for LifterLMS or Azure AI Search Vector Store?
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 LifterLMS and Azure AI Search Vector Store 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.