---
title: "Connect Google BigQuery and Yandex - APIANT.ai"
description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"List files\" in Yandex, or \"New file\" in Yandex to \"Create Row\" in Google BigQuery."
canonical: "https://apiant.ai/connect/google-bigquery-to-yandex"
---

# Connect Google BigQuery and Yandex

When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **List files** in [Yandex](https://apiant.ai/connections/yandex), or **New file** in Yandex to **Create Row** in Google BigQuery. Describe the whole flow and it is built, tested on every scenario and kept running.

Google BigQuery **4** triggers Google BigQuery **10** actions Yandex **1** trigger Yandex **11** 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 BigQuery and Yandex 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 BigQuery and Yandex can do together

### From Google BigQuery to Yandex

- When **New Job Completed** in Google BigQuery then **List files** in Yandex
- When **New Row** in Google BigQuery then **Add folder** in Yandex

### From Yandex to Google BigQuery

- When **New file** in Yandex then **Create Row** in Google BigQuery
- When **New file** in Yandex then **Create Rows** in Google BigQuery

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 BigQuery and Yandex

## Triggers and actions 5 triggers · 21 actions

- Trigger

**New Job Completed**

Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.

- Trigger

**New Row**

Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID.

- Trigger

**Query Job Completed (With Row Data)**

Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.

- Trigger

**Updated Row**

Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.

- Action

**Create Row**

Creates a new row of data in a table. Note: Does not create a job.

- Action

**Create Rows**

Creates new rows of data in a table (accepts line items). Note: Does not create a job.

- Action

**Delete Rows**

Deletes every row in a table whose match column equals the value you give.

- Action

**Find One Row**

Finds the first row in a table whose column equals the value you give.

- Action

**Get Rows for Job Completed**

Returns the result rows of a finished query job.

- Action

**Import Data**

Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING.

- Action

**List Datasets**

Returns the datasets in a Google Cloud project.

- Action

**List Tables**

Returns the tables in a BigQuery dataset.

- Action

**Run a Query**

Runs a SQL query against a table in BigQuery.

- Action

**Update Row(s)**

Updates every row in a table whose match column equals the value you give, setting the columns you choose.

- Trigger

**New file**

Triggers when a new file is uploaded to Yandex Disk.

- Action

**Add folder**

Creates a new empty folder at the given path on Yandex Disk. The parent folder must already exist.

- Action

**Copy resource**

Copies a file or folder on Yandex Disk to a new location and returns a link to the copy, or to the copy operation when Yandex performs it in the background.

- Action

**Delete resource**

Deletes a file or folder on Yandex Disk, moving it to the Trash by default or removing it permanently.

- Action

**Get download link**

Returns a temporary direct link for downloading a file stored on Yandex Disk.

- Action

**Get resource**

Returns the details of a file or folder on Yandex Disk, such as its name, type, size, dates and custom properties. For a folder, the response also lists the items inside it.

- Action

**List files**

Returns a flat list of every file on the user's Yandex Disk, optionally filtered by media type and sorted.

- Action

**List public resources**

Returns the files and folders on your Yandex Disk that have been published with a public link.

- Action

**List recently uploaded files**

Returns the files most recently uploaded to Yandex Disk, newest first, optionally filtered by media type.

- Action

**Move resource**

Moves or renames a file or folder on Yandex Disk. Returns a link to the moved item, or to the background move operation when it runs asynchronously.

- Action

**Publish resource**

Publishes a file or folder on Yandex Disk so it gets a public link, optionally with access settings such as a password or expiry. Returns a link to the published resource's metadata.

- Action

**Update resource**

Adds or changes custom properties on a file or folder in Yandex Disk. Properties with the same name are overwritten, new ones are added, and a property set to null is removed.

## Each app on its own

- [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery)
- [ **Yandex** Yandex is a Russian internet services provider offering search, email, navigation, and other web-based...](https://apiant.ai/connections/yandex)

Reviews

## What our customers say

## More from Google BigQuery

- [ **Google BigQuery to HTML to Image** HTML to Image is a Powerful Image Generation API to convert HTML/CSS to Image and to take screenshots of...](https://apiant.ai/connect/google-bigquery-to-html-to-image)
- [ **Google BigQuery to PaperClean** Clean document photos for printing, remove shadows, fix lighting](https://apiant.ai/connect/google-bigquery-to-paperclean)
- [ **Google BigQuery to Resend** Resend is the email API for developers. It's designed for you to build, test, and send transactional and...](https://apiant.ai/connect/google-bigquery-to-resend)
- [ **Google BigQuery to TypeSafe** TypeSafe's Jev model answers typed questions about a piece of content and tells you how certain it is.](https://apiant.ai/connect/google-bigquery-to-typesafe)
- [ **Google BigQuery to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-bigquery-to-hubspot)
- [ **Google BigQuery to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-bigquery-to-salesforce)

## More into Yandex

- [ **HubSpot to Yandex** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-yandex)
- [ **Salesforce to Yandex** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-yandex)
- [ **Slack to Yandex** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-yandex)
- [ **Google Sheets to Yandex** Google Sheets](https://apiant.ai/connect/google-sheets-to-yandex)
- [ **Gmail to Yandex** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-yandex)
- [ **Google Calendar to Yandex** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-yandex)

Questions

## Google BigQuery and Yandex, answered

###

### What can start an automation from Google BigQuery?

Any of Google BigQuery's 4 triggers in the catalog, including New Job Completed, New Row, Query Job Completed (With Row Data) and Updated Row. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Yandex when something happens in Google BigQuery?

Any of Yandex's 11 actions, including Update resource, Add folder, Copy resource and Get download link. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Yandex to Google BigQuery?

Yes. When something happens in Yandex, your agent can act in Google BigQuery too. This page covers both directions: Yandex's triggers and Google BigQuery's actions are listed here as well.

###

### Do I have to build a connector for Google BigQuery or Yandex?

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 BigQuery and Yandex 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.
