---
title: "Connect DocuPipe to Azure AI Search Vector Store - APIANT.ai"
description: "When \"Document Processed\" fires in DocuPipe, your agent runs \"Get Document\" in Azure AI Search Vector Store."
canonical: "https://apiant.ai/connect/docupipe-to-azure-ai-search-vector-store"
---

# Connect DocuPipe to Azure AI Search Vector Store

When **Document Processed** fires in [DocuPipe](https://apiant.ai/connections/docupipe), your agent runs **Get Document** 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.

DocuPipe **1** trigger DocuPipe **15** 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 DocuPipe 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 DocuPipe can start in Azure AI Search Vector Store

- When **Document Processed** in DocuPipe then **Get Document** in Azure AI Search Vector Store
- When **Document Processed** in DocuPipe then **Upload Documents** 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 DocuPipe and Azure AI Search Vector Store

## Triggers and actions 1 trigger · 22 actions

- Trigger

**Document Processed**

Triggers when a document finishes parsing and OCR is complete.

- Action

**Add schema**

Creates a new extraction schema in DocuPipe from a JSON schema you supply, and returns its schema ID.

- Action

**Analyze document**

Asks DocuPipe a list of plain-language questions about one document and starts the analysis, returning the analysis ID to fetch the answers with.

- Action

**Classify Document**

Sends one or more documents to DocuPipe to be sorted into your classes, and returns the job that is doing the work.

- Action

**Delete document**

Removes a document from your DocuPipe account.

- Action

**Delete schema**

Removes an extraction schema from your DocuPipe account.

- Action

**Extract Data From Document**

Pulls structured data out of a document using one of your schemas, and returns the extraction to fetch the results with.

- Action

**Find documents by criteria**

Finds documents in your DocuPipe account whose file name or document ID matches what you search for.

- Action

**Get Document**

Returns one document from your DocuPipe account, with its file details, processing status, parsed text and your own metadata.

- Action

**Get Extraction Result**

Returns the data DocuPipe pulled out of a document, shaped by the schema that was used, along with per-field confidence details.

- Action

**Get schema**

Returns one extraction schema from your DocuPipe account, including the JSON schema it applies and its guidelines.

- Action

**List documents**

Returns the documents in your DocuPipe account, optionally narrowed to one dataset or a date range.

- Action

**List extractions**

Returns the data extractions in your DocuPipe account, optionally narrowed to one schema, one document, or a specific set of extractions.

- Action

**List schemas**

Returns the extraction schemas in your DocuPipe account.

- Action

**Upload and Extract Data**

Sends a file to DocuPipe and immediately starts pulling structured data out of it, returning both the new document and the extraction.

- Action

**Upload Document**

Sends a file to DocuPipe to be read and turned into a document you can extract data from.

- 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

- [ **DocuPipe** DocuPipe is a service that turns PDFs, images, and scanned documents into structured JSON data.](https://apiant.ai/connections/docupipe)
- [ **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 DocuPipe

- [ **DocuPipe to Publora** Publish and schedule posts to ten social networks from one endpoint](https://apiant.ai/connect/docupipe-to-publora)
- [ **DocuPipe to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/docupipe-to-hubspot)
- [ **DocuPipe to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/docupipe-to-salesforce)
- [ **DocuPipe to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/docupipe-to-slack)
- [ **DocuPipe to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/docupipe-to-google-sheets)
- [ **DocuPipe to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/docupipe-to-gmail)

## 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

## DocuPipe and Azure AI Search Vector Store, answered

###

### What can start an automation from DocuPipe?

Any of DocuPipe's 1 trigger in the catalog, including Document Processed. 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 DocuPipe?

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 DocuPipe?

Azure AI Search Vector Store has no triggers in the catalog today, so automations start in DocuPipe. 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 DocuPipe 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 DocuPipe 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.
