Integration
Connect Groundhogg to Google Vertex AI
When New Contact fires in Groundhogg, 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 Groundhogg 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)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 Groundhogg can start in Google Vertex AI
When New Contact in Groundhogg
then Analyze Document in Google Vertex AI
When New Note in Groundhogg
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 Groundhogg and Google Vertex AI
Triggers and actions 2 triggers · 23 actions
Trigger
New ContactTriggers when a new contact is added to Groundhogg.
Trigger
New NoteTriggers when a new note is added in Groundhogg.
Action
Add Tags to ContactApplies one or more tags to a Groundhogg contact, by tag ID or name.
Action
Create ContactCreates a new contact in Groundhogg with an email address, name, opt-in status, owner, custom fields and tags.
Action
Create NoteAdds a note to a Groundhogg contact's record.
Action
Create TagCreates a new tag in Groundhogg.
Action
Delete ContactPermanently deletes a contact from Groundhogg.
Action
Find ContactsFinds Groundhogg contacts whose email or name matches the search text and returns the matching contact records.
Action
Get ContactReturns a single Groundhogg contact by its ID, including its details, custom fields and tags.
Action
List TagsReturns the tags defined in your Groundhogg site.
Action
Remove Tags from ContactRemoves one or more tags from a Groundhogg contact.
Action
Send Email to ContactSends one of your Groundhogg emails to a contact.
Action
Update ContactUpdates an existing Groundhogg contact's details, custom fields and tags.
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
Reviews
What our customers say
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Questions
Groundhogg and Google Vertex AI, answered
What can start an automation from Groundhogg?
Any of Groundhogg's 2 triggers in the catalog, including New Contact and New Note. 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 Groundhogg?
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 Groundhogg?
Google Vertex AI has no triggers in the catalog today, so automations start in Groundhogg. 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 Groundhogg 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 Groundhogg 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.