Integration
Connect Higher Logic Vanilla to Google Vertex AI
When Article Added fires in Higher Logic Vanilla, your agent runs Analyze Document in Google Vertex AI. 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 Higher Logic Vanilla and Google Vertex AI 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 Higher Logic Vanilla can start in Google Vertex AI
When Article Added in Higher Logic Vanilla
then Analyze Document in Google Vertex AI
When Comment Added in Higher Logic Vanilla
then Send Prompt in Google Vertex AI
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 Higher Logic Vanilla and Google Vertex AI
Triggers and actions 5 triggers · 36 actions
Trigger
Article AddedTriggers when a new article is published in a knowledge base category (checked on a schedule).
Trigger
Comment AddedTriggers when a new comment is posted in your community (checked on a schedule).
Trigger
Discussion AddedTriggers when a new discussion is posted in your community (checked on a schedule).
Trigger
New RankTriggers when a new rank is defined in your Vanilla community.
Trigger
User AddedTriggers when a new member joins your community (checked on a schedule).
Action
Add articleCreates a new knowledge base article in a knowledge category.
Action
Add categoryCreates a new category in your Vanilla community, optionally nested under a parent category.
Action
Add tagCreates a new tag in your Vanilla community that can then be applied to discussions.
Action
Add userCreates a new user account in your Vanilla community.
Action
Assign a Role to a UserAdds a role to a community member, keeping the roles they already have.
Action
Award a Badge to a UserAwards a badge to a community member.
Action
Ban userBans a user from the community.
Action
Close a DiscussionCloses a discussion so no new comments can be added.
Action
Comment on DiscussionPosts a comment on a discussion in your Higher Logic Vanilla community.
Action
Create New DiscussionCreates a new discussion in your Higher Logic Vanilla community.
Action
Create ReportReports a discussion or comment to the community's moderators.
Action
Delete articleDeletes a knowledge base article by setting its status to deleted.
Action
Delete commentDeletes a comment from a discussion in your community.
Action
Delete discussionDeletes a discussion from the community.
Action
Delete userDeletes a user from the community, optionally keeping or wiping their posts.
Action
Find users by nameSearches the community's users by full or partial username and returns the matching users.
Action
Get discussionReturns one discussion by its ID, including its title, body, category, author, counts and custom post fields.
Action
List categoriesReturns the community's categories as a flat list, optionally filtered by parent, followed status, archive status, featured flag or subcommunity.
Action
List discussionsReturns discussions from your community, optionally filtered by category, author, tags, type, status and dates (up to 100 per run).
Action
List knowledge categoriesReturns the knowledge categories in your community.
Action
Update articleUpdates an existing knowledge base article's title or content.
Action
Update commentUpdates an existing comment's text, format, or the discussion or record it belongs to.
Action
Update discussionUpdates an existing discussion's title, body, category, tags, pin, close and sink state, or custom post fields. Fields left blank are not changed.
Action
Update userUpdates an existing community user's name, email, password, roles, rank, flags and profile fields. Returns the updated user.
Action
Analyze DocumentAnalyzes a document (PDF, image, or text file) using Gemini Vision to extract insights, summaries, or structured data.
Action
Analyze Text SentimentAnalyzes text for positive or negative sentiment.
Action
Classify TextClassify some text from amongst a list of categories.
Action
ConversationSends a chat message, optionally storing messages as you go.
Action
Count TokensReturns how many tokens a prompt uses for a Gemini model on Vertex AI.
Action
Generate CodeGenerates, explains, refactors, debugs, or converts code using AI. Supports multiple programming languages.
Action
Generate EmbeddingsGenerates vector embeddings for text. Useful for semantic search, RAG, and similarity comparisons.
Action
Generate ImageGenerates an image from a prompt.
Action
Send PromptSends a prompt and generates a completion.
Action
Summarize TextSummarizes text.
Action
Translate TextTranslates text between languages using AI with support for different tones and styles.
Action
Write an EmailWrites the content of an email based on your provided prompt for use in a subsequent step.
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
Higher Logic Vanilla and Google Vertex AI, answered
What can start an automation from Higher Logic Vanilla?
Any of Higher Logic Vanilla's 5 triggers in the catalog, including Article Added, Comment Added, Discussion Added and New Rank. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google Vertex AI when something happens in Higher Logic Vanilla?
Any of Google Vertex AI's 12 actions, including Send Prompt, Analyze Document, Analyze Text Sentiment and Classify Text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Vertex AI to Higher Logic Vanilla?
Google Vertex AI has no triggers in the catalog today, so automations start in Higher Logic Vanilla. If you need the other direction, ask: your agent reads Google Vertex AI's API documentation and adds it.
Do I have to build a connector for Higher Logic Vanilla or Google Vertex AI?
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 Higher Logic Vanilla and Google Vertex AI 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.