Integration
Connect LifterLMS and Wonderchat
When New Course fires in LifterLMS, your agent runs Update Message Feedback in Wonderchat, or New Chatlog in Wonderchat to Create a WordPress User in LifterLMS. 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 Wonderchat 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 and Wonderchat can do together
From LifterLMS to Wonderchat
When New Course in LifterLMS
then Update Message Feedback in Wonderchat
When New Course Enrollment in LifterLMS
then Get Messages in Wonderchat
From Wonderchat to LifterLMS
When New Chatlog in Wonderchat
then Create a WordPress User in LifterLMS
When New Chatlog in Wonderchat
then Enroll in a Course in LifterLMS
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 Wonderchat
Triggers and actions 11 triggers · 24 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.
Trigger
New ChatlogTriggers when a new conversation (chatlog) starts on a Wonderchat chatbot.
Action
Add PagesAdds web pages to a Wonderchat chatbot's knowledge base.
Action
Add Tags to ChatlogAdds one or more tags to a Wonderchat chatlog.
Action
Ask QuestionAsks a Wonderchat chatbot a question and returns its answer, the conversation ID and the sources it used.
Action
Delete PagesRemoves web pages from a Wonderchat chatbot's knowledge base.
Action
Delete Tags from ChatlogRemoves one or more tags from a Wonderchat chatlog.
Action
Get MessagesReturns every message in a Wonderchat chatlog, user and bot, with timestamps.
Action
List ChatlogsReturns Wonderchat chatlogs, newest first, with contact details and message transcripts.
Action
Update Chat FeedbackSets a Wonderchat chatlog's feedback to Good or Bad.
Action
Update Chatlog InfoSets contact and lead details (name, email, phone, your own user ID) on a Wonderchat chatlog; fields left blank are not changed.
Action
Update Message FeedbackMarks a single Wonderchat bot message as helpful or not helpful, with an optional comment.
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 Wonderchat, 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 Wonderchat when something happens in LifterLMS?
Any of Wonderchat's 10 actions, including Update Chat Feedback, Update Chatlog Info, Update Message Feedback and Add Pages. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wonderchat to LifterLMS?
Yes. When something happens in Wonderchat, your agent can act in LifterLMS too. This page covers both directions: Wonderchat's triggers and LifterLMS's actions are listed here as well.
Do I have to build a connector for LifterLMS or Wonderchat?
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 Wonderchat 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.