---
title: "Connect Leiga to Azure AI Search Vector Store - APIANT.ai"
description: "When \"Updated Issue\" fires in Leiga, your agent runs \"Upload Documents\" in Azure AI Search Vector Store."
canonical: "https://apiant.ai/connect/leiga-to-azure-ai-search-vector-store"
---

# Connect Leiga to Azure AI Search Vector Store

When **Updated Issue** fires in [Leiga](https://apiant.ai/connections/leiga), 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.

Leiga **1** trigger Leiga **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 Leiga 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 Leiga can start in Azure AI Search Vector Store

- When **Updated Issue** in Leiga then **Upload Documents** in Azure AI Search Vector Store
- When **Updated Issue** in Leiga 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 Leiga and Azure AI Search Vector Store

## Triggers and actions 1 trigger · 22 actions

- Trigger

**Updated Issue**

Triggers when an issue is updated in Leiga.

- Action

**Add comment**

Adds a comment to a Leiga issue or other record, optionally as a reply to an existing comment.

- Action

**Add epic**

Creates a new epic in a Leiga project.

- Action

**Add project**

Creates a new project in Leiga from a project template, with a name, leader and optional description.

- Action

**Add version**

Creates a new version (release) in Leiga with a name, owner, and optional description, start date and estimated release date.

- Action

**Create Issue**

Creates a new issue in a Leiga project with the issue type and field values you provide.

- Action

**Delete issue**

Deletes an issue from a Leiga project.

- Action

**Find issues by criteria**

Searches the issues in a Leiga project matching a summary keyword, status types, field values or date ranges, and returns the matching issues.

- Action

**Get issue**

Returns the full details of a Leiga issue, including its custom field values, by issue ID.

- Action

**Get project**

Returns the details of a Leiga project by its ID.

- Action

**Get version**

Returns the details of a Leiga version, including its name, status and release dates.

- Action

**List comments**

Returns the comments on a Leiga issue or other item, including replies and attachments.

- Action

**List Issue Types**

Returns the issue types (such as bug or task) available in a Leiga project.

- Action

**List projects**

Returns all projects in your Leiga organization with their id, name, key and archived status.

- Action

**Update issue**

Updates an existing Leiga issue's field values, such as its summary, description, status, priority, assignee or labels.

- Action

**Update project**

Updates a Leiga project's overview fields, such as its name or start time.

- 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

- [ **Leiga** Offering powerful features and flexible solutions, Leiga empowers agile teams to work, collaborate, improve...](https://apiant.ai/connections/leiga)
- [ **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 Leiga

- [ **Leiga to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/leiga-to-salesforce)
- [ **Leiga to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/leiga-to-slack)
- [ **Leiga to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/leiga-to-mailchimp)
- [ **Leiga to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/leiga-to-stripe)
- [ **Leiga to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/leiga-to-shopify)
- [ **Leiga to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/leiga-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

## Leiga and Azure AI Search Vector Store, answered

###

### What can start an automation from Leiga?

Any of Leiga's 1 trigger in the catalog, including Updated Issue. 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 Leiga?

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 Leiga?

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