--- title: "Connect Buildkite to Google Vertex AI - APIANT.ai" description: "When \"New build\" fires in Buildkite, your agent runs \"Analyze Document\" in Google Vertex AI." canonical: "https://apiant.ai/connect/buildkite-to-google-vertex-ai" --- # Connect Buildkite to Google Vertex AI When **New build** fires in [Buildkite](https://apiant.ai/connections/buildkite), 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. Buildkite **2** triggers Buildkite **12** 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 Buildkite 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 Buildkite can start in Google Vertex AI - When **New build** in Buildkite then **Analyze Document** in Google Vertex AI - When **Build finished** in Buildkite 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 Buildkite and Google Vertex AI ## Triggers and actions 2 triggers · 24 actions - Trigger **Build finished** Triggers when a Buildkite build finishes (passed, failed, canceled or otherwise completed). - Trigger **New build** Triggers when a new build is scheduled in a Buildkite pipeline. - Action **Add annotation** Creates an annotation (a Markdown or HTML note) on a Buildkite build, optionally appending to an existing annotation with the same context. - Action **Add build** Creates (triggers) a new build on a Buildkite pipeline for a given commit and branch, and returns the new build. - Action **Add pipeline** Creates a new pipeline in a Buildkite organization from a repository and YAML steps configuration. - Action **Cancel build** Cancels a running or scheduled build in a Buildkite pipeline and returns the updated build. - Action **Delete pipeline** Permanently deletes a pipeline from your Buildkite organization. - Action **Get build** Returns a single build of a Buildkite pipeline by its build number, including its state, commit, jobs and pipeline details. - Action **Get pipeline** Returns a Buildkite pipeline's full details, including its repository, default branch, steps and build counts. - Action **List agents** Returns the connected and stopping agents in a Buildkite organization, optionally filtered by name, hostname, version or queue. - Action **List builds** Returns the builds of a Buildkite pipeline, newest first, optionally filtered by branch, commit, state, creator or date range. - Action **List pipelines** Returns the pipelines in a Buildkite organization, optionally filtered by pipeline name or repository URL. - Action **Rebuild build** Starts a new build that re-runs an existing build of a pipeline, and returns the new build. - Action **Update pipeline** Updates one or more settings of an existing Buildkite pipeline, such as its name, repository, YAML steps or branch filters. - 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 - [ **Buildkite** Buildkite is a platform for running fast, secure, and scalable continuous integration pipelines on your own...](https://apiant.ai/connections/buildkite) - [ **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 Buildkite - [ **Buildkite to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/buildkite-to-hubspot) - [ **Buildkite to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/buildkite-to-salesforce) - [ **Buildkite to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/buildkite-to-slack) - [ **Buildkite to Google Sheets** Google Sheets](https://apiant.ai/connect/buildkite-to-google-sheets) - [ **Buildkite to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/buildkite-to-gmail) - [ **Buildkite to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/buildkite-to-google-calendar) ## More into 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](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) - [ **Google Calendar to Google Vertex AI** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-google-vertex-ai) Questions ## Buildkite and Google Vertex AI, answered ### ### What can start an automation from Buildkite? Any of Buildkite's 2 triggers in the catalog, including New build and Build finished. 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 Buildkite? 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 Buildkite? Google Vertex AI has no triggers in the catalog today, so automations start in Buildkite. 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 Buildkite 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 Buildkite 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.