--- title: "Connect Metaview to Azure AI Search Vector Store - APIANT.ai" description: "When \"New Conversation\" fires in Metaview, your agent runs \"Upload Documents\" in Azure AI Search Vector Store." canonical: "https://apiant.ai/connect/metaview-to-azure-ai-search-vector-store" --- # Connect Metaview to Azure AI Search Vector Store When **New Conversation** fires in [Metaview](https://apiant.ai/connections/metaview), 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. Metaview **1** trigger Metaview **31** 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 Metaview 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 Metaview can start in Azure AI Search Vector Store - When **New Conversation** in Metaview then **Upload Documents** in Azure AI Search Vector Store - When **New Conversation** in Metaview 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 Metaview and Azure AI Search Vector Store ## Triggers and actions 1 trigger · 38 actions - Trigger **New Conversation** Triggers when a new conversation is available in Metaview. - Action **Build chart** Creates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment. - Action **Check enrichment status** Returns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type. - Action **Create AI field** Creates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type. - Action **Create report** Builds a report from conversations with filtering, metrics, grouping, and custom field inclusion. - Action **Fetch candidates** Looks up candidate information by ID, LinkedIn URL, email, or phone number in bulk. - Action **Find candidate's sequences** Finds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone. - Action **Get note template** Returns a note generation template by ID for use in automating note creation. - Action **Get search details** Retrieves configuration and results for a sourcing search by ID. - Action **Get sourcing analytics** Returns sourcing analytics and metrics grouped by user, search, or date range with filtering options. - Action **Get sourcing messages** Lists outreach messages sent in a sourcing search with pagination support. - Action **Get User Context** Returns information about the connected user account and available features. - Action **Give sourcing feedback** Submits feedback on candidates from a sourcing search, optionally linking to the search that sourced them. - Action **Group conversations** Groups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group. - Action **List application reviews** Returns a list of application reviews, optionally filtering by name or showing only active ones. - Action **List ATS jobs** Returns ATS job postings, optionally filtered by job title. - Action **List ATS stages** Returns hiring pipeline stages for a job, or workspace-level stages if no job is specified. - Action **List available fields** Returns available data fields for reports, optionally filtered by name. - Action **List candidates in sequence** Returns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details. - Action **List field values** Returns distinct values for a field across conversations, useful for building filters or dropdowns. - Action **List mailboxes** Returns email mailboxes available in this Metaview workspace. - Action **List note template folders** Returns folders of note templates organized in the workspace. - Action **List note templates** Returns note templates available in the workspace, optionally filtered by name or with full section details. - Action **List sequences** Returns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested. - Action **List sourcing candidates** Returns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level. - Action **List sourcing searches** Returns all sourcing searches with optional pagination. - Action **Manage candidate sequence** Adds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence. - Action **Manage note template** Creates, updates, or deletes call note templates with customizable sections for structured note-taking. - Action **Manage sequence** Creates, updates, duplicates, or deletes recruitment sequences. - Action **Search conversations** Searches call conversations with optional filtering, sorting, and field selection. - Action **Search reports** Searches reports by name, category, or ID with optional full configuration details. - Action **Send sourcing message** Starts or continues a sourcing or research search with a message to the AI agent. - 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 - [ **Metaview** Metaview writes your recruiting notes for you so you can save time and focus on high-quality interactions...](https://apiant.ai/connections/metaview) - [ **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 Metaview - [ **Metaview to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/metaview-to-salesforce) - [ **Metaview to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/metaview-to-slack) - [ **Metaview to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/metaview-to-google-calendar) - [ **Metaview to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/metaview-to-stripe) - [ **Metaview to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/metaview-to-shopify) - [ **Metaview to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/metaview-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 ## Metaview and Azure AI Search Vector Store, answered ### ### What can start an automation from Metaview? Any of Metaview's 1 trigger in the catalog, including New Conversation. 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 Metaview? 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 Metaview? Azure AI Search Vector Store has no triggers in the catalog today, so automations start in Metaview. 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 Metaview 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 Metaview 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.