# Connect Google BigQuery and Timing

When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Create Project** in [Timing](https://apiant.ai/connections/timing), or **New Project** in Timing 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 Timing **4** triggers Timing **19** 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 Timing 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 and Timing can do together

### From Google BigQuery to Timing

- When **New Job Completed** in Google BigQuery then **Create Project** in Timing
- When **New Row** in Google BigQuery then **Update Project** in Timing

### From Timing to Google BigQuery

- When **New Project** in Timing then **Create Row** in Google BigQuery
- When **New Team** in Timing 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 Timing

## Triggers and actions 8 triggers · 29 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 Project**

Triggered when a new project is created in Timing.

- Trigger

**New Team**

Triggered when you are added to a new team in Timing.

- Trigger

**New Time Entry**

Triggered when a new time entry is logged in Timing.

- Trigger

**New Timer Started and Running**

Triggered when a new timer is started and is still running in Timing.

- Action

**Batch Update Time Entries**

Updates several Timing time entries at once — moves them to a project, retitles them, sets notes, billing status or custom fields. Anything left blank is left untouched on the entries.

- Action

**Create Project**

Creates a new project in Timing, optionally under a parent project, and returns the created project.

- Action

**Create Time Entry**

Logs a finished block of work in Timing between a start and end time, optionally against a project, and returns the created time entry.

- Action

**Delete Project**

Deletes a project in Timing, along with all of its child projects.

- Action

**Delete Time Entry**

Deletes a time entry in Timing.

- Action

**Find Project**

Searches your Timing projects by title and returns the first match, plus the full list of matches.

- Action

**Find Team**

Finds a team you belong to in Timing by its name and returns the first match, plus every team whose name matched.

- Action

**Get Activity Hierarchy**

Returns a readable breakdown of what you worked on in Timing over a date range, as tab-indented text grouped by project and app with durations.

- Action

**List Projects**

Returns the projects you can see in Timing, optionally filtered by title, team, or hiding archived ones.

- Action

**List Teams**

Returns all the Timing teams you are a member of.

- Action

**List Time Entries**

Returns your Timing time entries, optionally narrowed by date range, project, team member, search text or billing status.

- Action

**Show Latest Time Entry**

Returns your most recent time entry in Timing.

- Action

**Show Project**

Returns a single Timing project with its colour, notes, billing default, parent and child projects.

- Action

**Show Running Timer**

Returns the timer that is currently running in Timing. Errors with a not-found if no timer is running.

- Action

**Show Time Entry**

Returns a single Timing time entry with its times, duration, project, notes and billing status.

- Action

**Start Timer**

Starts a running timer in Timing, stopping any timer that is already running, and returns the new entry.

- Action

**Stop Timer**

Stops the timer that is currently running in Timing and returns the finished time entry.

- Action

**Update Project**

Updates a Timing project's name, colour, notes, archive state or billing default. Anything left blank keeps its current value.

- Action

**Update Time Entry**

Updates a Timing time entry — its times, project, title, notes or billing status. Anything left blank keeps its current value.

## 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)
- [ **Timing** Timing is an automatic time tracking app for macOS.](https://apiant.ai/connections/timing)

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 Timing

- [ **Favro to Timing** Plan a wedding, build an award winning video game or even send a rocket into space.](https://apiant.ai/connect/favro-to-timing)
- [ **Pipefy to Timing** The easy button for processes and workflows Easily organize and run all your processes in one place, leaving...](https://apiant.ai/connect/pipefy-to-timing)
- [ **HubSpot to Timing** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-timing)
- [ **Salesforce to Timing** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-timing)
- [ **Slack to Timing** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-timing)
- [ **Gmail to Timing** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-timing)

Questions

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

Any of Timing's 19 actions, including Create Project, Create Time Entry, Update Project and Update Time Entry. Your agent maps the data both ways and tests every scenario before it ships.

###

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

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

###

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

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.
