App

Google Vertex AI integrations

Connect Google Vertex AI to any other app, or use it from your AI client over MCP. Build, deploy, and scale machine learning (ML) models, with fully managed ML tools for any use case, with Vertex AI.

Connects with OAuthgoogle.com

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 to automate with Google Vertex AI?

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Connect your AI client

Give your AI client this address.

https://mcp.apiant.ai

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.ai

Start 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)

Pair it

Connect Google Vertex AI with another app

What your agent can do with Google Vertex AI

Triggers and actions 12 actions

  • Action
    Analyze Document

    Analyzes a document (PDF, image, or text file) using Gemini Vision to extract insights, summaries, or structured data.

  • Action
    Analyze Text Sentiment

    Analyzes text for positive or negative sentiment.

  • Action
    Classify Text

    Classify some text from amongst a list of categories.

  • Action
    Conversation

    Sends a chat message, optionally storing messages as you go.

  • Action
    Count Tokens

    Returns how many tokens a prompt uses for a Gemini model on Vertex AI.

  • Action
    Generate Code

    Generates, explains, refactors, debugs, or converts code using AI. Supports multiple programming languages.

  • Action
    Generate Embeddings

    Generates vector embeddings for text. Useful for semantic search, RAG, and similarity comparisons.

  • Action
    Generate Image

    Generates an image from a prompt.

  • Action
    Send Prompt

    Sends a prompt and generates a completion.

  • Action
    Summarize Text

    Summarizes text.

  • Action
    Translate Text

    Translates text between languages using AI with support for different tones and styles.

  • Action
    Write an Email

    Writes the content of an email based on your provided prompt for use in a subsequent step.

Reviews

What our customers say

Questions

Google Vertex AI, answered

Is there a Google Vertex AI MCP server?

APIANT's MCP server at https://mcp.apiant.ai works with Google Vertex AI. Add that address to any AI client that takes a remote MCP server, sign in once in your browser, and your client can build, test and run automations that use Google Vertex AI. Nothing to install.

What can your agent do in Google Vertex AI?

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.

Which apps can Google Vertex AI connect to?

Any app in the catalog; the list on this page pairs Google Vertex AI with each of them. If the other app is missing, point your agent at its API documentation and it builds the connector.

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.