---
title: "Connect Google Search Console to Azure AI Search Vector Store - APIANT.ai"
description: "When \"New Daily Search Performance\" fires in Google Search Console, your agent runs \"Search Documents\" in Azure AI Search Vector Store."
canonical: "https://apiant.ai/connect/google-search-console-2-to-azure-ai-search-vector-store"
---

# Connect Google Search Console to Azure AI Search Vector Store

When **New Daily Search Performance** fires in [Google Search Console](https://apiant.ai/connections/google-search-console-2), your agent runs **Search 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.

Google Search Console **1** trigger Google Search Console **6** 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 Google Search Console 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 Google Search Console can start in Azure AI Search Vector Store

- When **New Daily Search Performance** in Google Search Console then **Search Documents** in Azure AI Search Vector Store
- When **New Daily Search Performance** in Google Search Console 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 Google Search Console and Azure AI Search Vector Store

## Triggers and actions 1 trigger · 13 actions

- Trigger

**New Daily Search Performance**

Triggers once per day of search performance data for a property, with that day's clicks, impressions, CTR and position.

- Action

**Get Sitemap**

Returns the details of one submitted sitemap for a property.

- Action

**Inspect URL**

Returns Google's index status for a URL in a property: coverage, last crawl, canonical, mobile usability and rich results.

- Action

**List Sitemaps**

Returns the sitemaps submitted for a property, with their status, errors and warnings.

- Action

**List Sites**

Returns the Search Console properties the connected account can access, with your permission level on each.

- Action

**Search Analytics Query**

Returns search performance rows (clicks, impressions, CTR, position) for a property over a date range, grouped by the dimensions you choose.

- Action

**Submit Sitemap**

Submits (or resubmits) a sitemap for a property so Google crawls it.

- 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

- [ **Google Search Console** Google Search Console reports how your sites perform in Google Search: queries, clicks, impressions...](https://apiant.ai/connections/google-search-console-2)
- [ **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 Google Search Console

- [ **Google Search Console to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/google-search-console-2-to-stripe)
- [ **Google Search Console to Upload-Post** Upload-Post is a tool to upload your videos to every social media platform via API with a simple request.](https://apiant.ai/connect/google-search-console-2-to-upload-post)
- [ **Google Search Console to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-search-console-2-to-hubspot)
- [ **Google Search Console to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-search-console-2-to-salesforce)
- [ **Google Search Console to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/google-search-console-2-to-slack)
- [ **Google Search Console to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-search-console-2-to-google-sheets)

## 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

## Google Search Console and Azure AI Search Vector Store, answered

###

### What can start an automation from Google Search Console?

Any of Google Search Console's 1 trigger in the catalog, including New Daily Search Performance. 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 Google Search Console?

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 Google Search Console?

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