--- title: "Connect Beanstalk to Azure AI Search Vector Store - APIANT.ai" description: "When \"New Repository\" fires in Beanstalk, your agent runs \"Upload Documents\" in Azure AI Search Vector Store." canonical: "https://apiant.ai/connect/beanstalk-to-azure-ai-search-vector-store" --- # Connect Beanstalk to Azure AI Search Vector Store When **New Repository** fires in [Beanstalk](https://apiant.ai/connections/beanstalk), your agent runs **Upload Documents** in [Azure AI Search Vector Store](https://apiant.ai/connections/azure-ai-search-vector-store). Describe the whole flow and it is built, tested on every scenario and kept running. Beanstalk **2** triggers Beanstalk **7** actions Azure AI Search Vector Store **7** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Beanstalk and Azure AI Search Vector Store 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 Beanstalk can start in Azure AI Search Vector Store - When **New Repository** in Beanstalk then **Upload Documents** in Azure AI Search Vector Store - When **New User** in Beanstalk then **Get Document** in Azure AI Search Vector Store 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 Beanstalk and Azure AI Search Vector Store ## Triggers and actions 2 triggers · 14 actions - Trigger **New Repository** Polls for newly created repositories. - Trigger **New User** Polls for newly added users. - Action **Add public key** Add an SSH public key for Git authentication. - Action **Create Repository** Create a new repository in the Beanstalk account. - Action **Get Repository** Retrieve a single repository by ID. - Action **Get User** Retrieve a single user by ID. - Action **List public keys** List SSH public keys for users on the account. - Action **List Repositories** List all repositories in the Beanstalk account. - Action **List Users** List all users in the Beanstalk account. - Action **Create Index** Creates a search index with the fields you define, including vector fields for similarity search. - Action **Delete Index** Deletes a search index and every document in it. - Action **Get Document** Returns one document from a search index by its key. - Action **Get Index** Returns a search index's definition: its fields, vector search and semantic settings. - Action **List Indexes** Returns the search indexes in your Azure AI Search service. - Action **Search Documents** Searches a search index by keywords, filter and/or vector similarity and returns the matching documents with their scores. - Action **Upload Documents** Adds documents to a search index, replacing any existing document with the same key. ## Each app on its own - [ **Beanstalk** Beanstalk is a code hosting and deployment workflow tool for Git and Subversion.](https://apiant.ai/connections/beanstalk) - [ **Azure AI Search Vector Store** Vector database and search service for storing embeddings and powering retrieval-augmented generation apps.](https://apiant.ai/connections/azure-ai-search-vector-store) Reviews ## What our customers say ## More from Beanstalk - [ **Beanstalk to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/beanstalk-to-hubspot) - [ **Beanstalk to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/beanstalk-to-salesforce) - [ **Beanstalk to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/beanstalk-to-slack) - [ **Beanstalk to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/beanstalk-to-mailchimp) - [ **Beanstalk to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/beanstalk-to-stripe) - [ **Beanstalk to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/beanstalk-to-quickbooks-online) ## More into Azure AI Search Vector Store - [ **HubSpot to Azure AI Search Vector Store** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-azure-ai-search-vector-store) - [ **Salesforce to Azure AI Search Vector Store** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-azure-ai-search-vector-store) - [ **Slack to Azure AI Search Vector Store** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-azure-ai-search-vector-store) - [ **Google Sheets to Azure AI Search Vector Store** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-azure-ai-search-vector-store) - [ **Gmail to Azure AI Search Vector Store** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-azure-ai-search-vector-store) - [ **Google Calendar to Azure AI Search Vector Store** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-azure-ai-search-vector-store) Questions ## Beanstalk and Azure AI Search Vector Store, answered ### ### What can start an automation from Beanstalk? Any of Beanstalk's 2 triggers in the catalog, including New Repository and New User. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Azure AI Search Vector Store when something happens in Beanstalk? Any of Azure AI Search Vector Store's 7 actions, including Create Index, Upload Documents, Get Document and Get Index. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Azure AI Search Vector Store to Beanstalk? Azure AI Search Vector Store has no triggers in the catalog today, so automations start in Beanstalk. If you need the other direction, ask: your agent reads Azure AI Search Vector Store's API documentation and adds it. ### ### Do I have to build a connector for Beanstalk or Azure AI Search Vector Store? 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 Beanstalk and Azure AI Search Vector Store 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.