# Connect Google BigQuery to LAPIS

When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Find amino acid insertions** in [LAPIS](https://apiant.ai/connections/lapis). Describe the whole flow and it is built, tested on every scenario and kept running.

Google BigQuery **4** triggers Google BigQuery **10** actions LAPIS **13** 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 LAPIS to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

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 can start in LAPIS

- When **New Job Completed** in Google BigQuery then **Find amino acid insertions** in LAPIS
- When **New Row** in Google BigQuery then **Find amino acid mutations** in LAPIS

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 LAPIS

## Triggers and actions 4 triggers · 23 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.

- Action

**Find amino acid insertions**

Find amino acid insertions occurring among samples matching filter criteria.

- Action

**Find amino acid mutations**

Find amino acid mutations occurring among samples matching filter criteria.

- Action

**Find nucleotide insertions**

Find nucleotide insertions occurring among samples matching filter criteria.

- Action

**Find nucleotide mutations**

Find nucleotide mutations occurring among samples matching filter criteria.

- Action

**Find sample counts**

Query aggregated SARS-CoV-2 sample statistics (counts) filtered by fields like date, location, or lineage.

- Action

**Find sample details**

Retrieve detailed per-sample metadata (collection date, location, lineage, host, etc.) matching filter criteria.

- Action

**Get aligned amino acid sequences**

Retrieve aligned amino acid sequences (optionally for one gene) for samples matching filter criteria.

- Action

**Get aligned nucleotide sequences**

Retrieve aligned nucleotide sequences for samples matching filter criteria.

- Action

**Get lineage definition**

Retrieve the lineage tree/definition for a given lineage column.

- Action

**Get most recent common ancestor**

Compute the most recent common ancestor (in mutation/lineage terms) for samples matching filter criteria.

- Action

**Get phylogenetic subtree**

Retrieve a phylogenetic subtree for samples matching filter criteria.

- Action

**Get reference genome**

Retrieve the reference genome (nucleotide/gene sequence) used by this LAPIS instance.

- Action

**Get unaligned nucleotide sequences**

Retrieve raw (unaligned) nucleotide sequences for samples matching filter criteria.

## 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)
- [ **LAPIS** SARS-CoV-2 genomic sequences from public sources. Free, credential-less public API.](https://apiant.ai/connections/lapis)

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 LAPIS

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

Questions

## Google BigQuery and LAPIS, 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 LAPIS when something happens in Google BigQuery?

Any of LAPIS's 13 actions, including Find amino acid insertions, Find amino acid mutations, Find nucleotide insertions and Find nucleotide mutations. Your agent maps the data both ways and tests every scenario before it ships.

###

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

LAPIS has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads LAPIS's API documentation and adds it.

###

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

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.

###

### 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.
