--- title: "Connect Azurevirtualmachines to Google Vertex AI - APIANT.ai" description: "When \"New Virtual Machine\" fires in Azurevirtualmachines, your agent runs \"Analyze Document\" in Google Vertex AI." canonical: "https://apiant.ai/connect/azurevirtualmachines-to-google-vertex-ai" --- # Connect Azurevirtualmachines to Google Vertex AI When **New Virtual Machine** fires in [Azurevirtualmachines](https://apiant.ai/connections/azurevirtualmachines), your agent runs **Analyze Document** in [Google Vertex AI](https://apiant.ai/connections/google-vertex-ai). Describe the whole flow and it is built, tested on every scenario and kept running. Azurevirtualmachines **1** trigger Azurevirtualmachines **11** actions Google Vertex AI **12** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Azurevirtualmachines and Google Vertex AI to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.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)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What Azurevirtualmachines can start in Google Vertex AI - When **New Virtual Machine** in Azurevirtualmachines then **Analyze Document** in Google Vertex AI - When **New Virtual Machine** in Azurevirtualmachines 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 Azurevirtualmachines and Google Vertex AI ## Triggers and actions 1 trigger · 23 actions - Trigger **New Virtual Machine** Triggers when a new virtual machine appears in an Azure subscription. - Action **Deallocate Virtual Machine** Shuts down an Azure virtual machine and releases its compute resources, so compute charges stop until it is started again. - Action **Get Virtual Machine** Returns a virtual machine's details and its current power state (running, stopped or deallocated). - Action **List Available VM Sizes** Returns the virtual machine sizes offered in an Azure region, with CPU and memory, and whether each is available to the subscription. - Action **List Locations** Returns the Azure regions available to a subscription. - Action **List Resource Groups** Returns the resource groups in an Azure subscription. - Action **List Subscriptions** Returns the Azure subscriptions the connected app registration can access. - Action **List Virtual Machines** Returns every virtual machine in an Azure subscription, with its size, region and resource group. - Action **List Virtual Machines in Resource Group** Returns the virtual machines in one Azure resource group, with their size and region. - Action **Power Off Virtual Machine** Powers off an Azure virtual machine. The machine stops running but stays allocated, so compute charges continue; use Deallocate Virtual Machine to stop them. - Action **Restart Virtual Machine** Restarts a running Azure virtual machine. Azure accepts the request and reboots the machine in the background. - Action **Start Virtual Machine** Starts a stopped or deallocated Azure virtual machine. Azure accepts the request and powers the machine on in the background. - 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. ## Each app on its own - [ **Azurevirtualmachines** Cloud computing service for creating and managing on-demand Linux and Windows virtual machines.](https://apiant.ai/connections/azurevirtualmachines) - [ **Google Vertex AI** Build, deploy, and scale machine learning (ML) models, with fully managed ML tools for any use case, with...](https://apiant.ai/connections/google-vertex-ai) Reviews ## What our customers say ## More from Azurevirtualmachines - [ **Azurevirtualmachines to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/azurevirtualmachines-to-hubspot) - [ **Azurevirtualmachines to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/azurevirtualmachines-to-salesforce) - [ **Azurevirtualmachines to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/azurevirtualmachines-to-slack) - [ **Azurevirtualmachines to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/azurevirtualmachines-to-google-sheets) - [ **Azurevirtualmachines to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/azurevirtualmachines-to-gmail) - [ **Azurevirtualmachines to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/azurevirtualmachines-to-google-calendar) ## More into Google Vertex AI - [ **Zoom to Google Vertex AI** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/zoom-to-google-vertex-ai) - [ **HubSpot to Google Vertex AI** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-google-vertex-ai) - [ **Salesforce to Google Vertex AI** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-google-vertex-ai) - [ **Slack to Google Vertex AI** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-google-vertex-ai) - [ **Google Sheets to Google Vertex AI** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-google-vertex-ai) - [ **Gmail to Google Vertex AI** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-vertex-ai) Questions ## Azurevirtualmachines and Google Vertex AI, answered ### ### What can start an automation from Azurevirtualmachines? Any of Azurevirtualmachines's 1 trigger in the catalog, including New Virtual Machine. 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 Azurevirtualmachines? 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 Azurevirtualmachines? Google Vertex AI has no triggers in the catalog today, so automations start in Azurevirtualmachines. 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 Azurevirtualmachines 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 Azurevirtualmachines 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.