--- title: "Connect Benchmark Email Classic to Google Vertex AI - APIANT.ai" description: "When \"New Contact\" fires in Benchmark Email Classic, your agent runs \"Analyze Document\" in Google Vertex AI." canonical: "https://apiant.ai/connect/benchmark-email-classic-to-google-vertex-ai" --- # Connect Benchmark Email Classic to Google Vertex AI When **New Contact** fires in [Benchmark Email Classic](https://apiant.ai/connections/benchmark-email-classic), 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. Benchmark Email Classic **6** triggers Benchmark Email Classic **10** 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 Benchmark Email Classic 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 Benchmark Email Classic can start in Google Vertex AI - When **New Contact** in Benchmark Email Classic then **Analyze Document** in Google Vertex AI - When **New Contact in Segment** in Benchmark Email Classic 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 Benchmark Email Classic and Google Vertex AI ## Triggers and actions 6 triggers · 22 actions - Trigger **Email Opened** Triggers when a contact opens the selected email campaign. - Trigger **Link Clicked** Triggers when a contact clicks a link in the selected email campaign. - Trigger **New Contact** Triggers when a new contact is added to the selected Benchmark Email contact list. - Trigger **New Contact in Segment** Triggers when a contact is added to the selected segment. - Trigger **New List** Triggers when a new contact list is created in your Benchmark Email account. - Trigger **New Unsubscriber** Triggers when a contact unsubscribes from the selected email campaign. - Action **Add Contact to List** Adds a contact to a Benchmark Email contact list. - Action **Add list** Creates a new contact list in Benchmark Email. - Action **Delete contact** Deletes a contact from a Benchmark Email contact list. - Action **Find Contact** Finds contacts by email address across all lists, returning each list membership found. - Action **Get contact** Returns the details of one contact in a contact list, including its name, email, opt-in info and custom field values. - Action **Get email** Returns the details of an email campaign, including its subject, sender, contact lists and content. - Action **List contacts** Returns the contacts in a Benchmark Email contact list, optionally filtered by a search value or status. - Action **List emails** Returns the email campaigns in the Benchmark Email account, optionally filtered and sorted. - Action **List lists** Returns the contact lists in the Benchmark Email account. - Action **Unsubscribe Contact** Unsubscribes a contact by moving them from a list to the account's Do Not Contact (master unsubscribe) list. - 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 - [ **Benchmark Email Classic** Benchmark Email Classic is an easy-to-use email marketing tool, the original version that has helped...](https://apiant.ai/connections/benchmark-email-classic) - [ **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 Benchmark Email Classic - [ **Benchmark Email Classic to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/benchmark-email-classic-to-hubspot) - [ **Benchmark Email Classic to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/benchmark-email-classic-to-salesforce) - [ **Benchmark Email Classic to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/benchmark-email-classic-to-slack) - [ **Benchmark Email Classic to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/benchmark-email-classic-to-google-sheets) - [ **Benchmark Email Classic to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/benchmark-email-classic-to-gmail) - [ **Benchmark Email Classic to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/benchmark-email-classic-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 ## Benchmark Email Classic and Google Vertex AI, answered ### ### What can start an automation from Benchmark Email Classic? Any of Benchmark Email Classic's 6 triggers in the catalog, including New Contact, New Contact in Segment, New List and New Unsubscriber. 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 Benchmark Email Classic? 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 Benchmark Email Classic? Google Vertex AI has no triggers in the catalog today, so automations start in Benchmark Email Classic. 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 Benchmark Email Classic 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 Benchmark Email Classic 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.